The current project was made during and for the course Data Science for Business Analytics teached by Professor Vatter at HEC Lausanne.
To better understand the choice of the topic, it was motivated by a large interest in the real estate market. Sadly, data from the swiss market is quite hard to find and I therefore decided to turn myself to the UK.
One of the main decision point was the discovery of the IMD (Indice of Multiple Deprivation) made by the UK government to rank different regional places in term of Deprivation. Moreover, the HM Land Registry opened their price sales data to the public for non-commercial use, which is perfect in the actual case.
Those discoveries gave me the ability to have multiple data sources letting me work on this topic.
The Research question that will be discussed and answered in this paper are:
Before diving into the project in itself, here is a map of the UK LSOA (Lower super output area) that will be used in the project with their ranking in terms of Deprivation, places ranked low are highly deprived and places ranked high are lowly deprived.
This section is dedicated to present the data sets used and tidy them.
To make this project, 3 data sets were used:
The 2 firsts data sets comes from the UK government online website while the third one comes from a web developer who made it from various sources before all cited at the bottom of the page.
Let’s now have a look at each dataset
We will first start by having a look at the housing price data. As you can see, the first thing that has to be done is the naming of the variables from what we know on the website. After naming we have the following 16 variables:
Now let’s speak about the data points and what we will keep
#> tibble [992,818 x 16] (S3: tbl_df/tbl/data.frame)
#> $ Unique_transaction_code: chr [1:992818] "{8F1B26BD-60CA-53DB-E0"..
#> $ Price : int [1:992818] 221950 246995 244950 139..
#> $ Date : chr [1:992818] "2019-04-26 00:00" "201"..
#> $ Postcode : chr [1:992818] "TS17 5FF" "TS15 9ZH" ""..
#> $ Housing_type : chr [1:992818] "D" "D" "T" "S" ...
#> $ New_or_old : chr [1:992818] "Y" "Y" "Y" "Y" ...
#> $ Freehold_Leasehold : chr [1:992818] "F" "F" "F" "F" ...
#> $ Street_number : chr [1:992818] "3" "16" "13" "40" ...
#> $ NA : chr [1:992818] "" "" "" "" ...
#> $ Street : chr [1:992818] "CARRAWBURGH ROAD" "GRE"..
#> $ Locality : chr [1:992818] "INGLEBY BARWICK" "" """..
#> $ Town_City : chr [1:992818] "STOCKTON-ON-TEES" "YAR"..
#> $ District : chr [1:992818] "STOCKTON-ON-TEES" "STO"..
#> $ County : chr [1:992818] "STOCKTON-ON-TEES" "STO"..
#> $ NA : chr [1:992818] "A" "A" "A" "A" ...
#> $ NA : chr [1:992818] "A" "A" "A" "A" ...
#> NULL
This dataset contains 992’818 observations, each one being a sale that occurred in the UK in 2019. As you can see, there are 3 variables that were called NA, this is due to the fact that I was unable during the search of their meaning to find what they were meaning since the first one is empty the whole time and the two others I sadly wasn’t able to fin the answer on their exact meaning for the moment (time of HW4).
We have 16 variables with the most important:
Unique_transaction_code Unique code for each saleDate Which is the date of the day the sale occuredPostcode Postcode of the place of the buildingPrice Price of the exchangeHousing_type Type of housing with D = Detached, S = Semi-Detached, T = Terraced, F = Flats/Maisonettes, O = OtherNew_or_old Telling us if the construction is new (Y) or old (N)Freehold_Leasehold Specifying if the building was contains the land (Freehold) or not (Leasehold)Street_number Street numberStreet Name of the streetLocality Name of the localityTown_City Name of the cityDistrict Name of the districtFor the analysis we will only keep the Unique_transaction_code,the Postcode, the Price, the Housing_type, the New_or_old, the Freehold_Leasehold adn the Date. Since those variable will either be needed for the analysis of will give the ability to answer further questions or explanation of the results. While locality and street names would not grant any information to resolve the research questions.
We will now look at the IMD data, this data is for the year 2019 too. Compared to the Priced paid data, this one is already quite usable and do not need as much tidying as the first one, the first thing to do is to rename the variables to present them:
#> tibble [32,844 x 20] (S3: tbl_df/tbl/data.frame)
#> $ LSOA_code : chr [1:32844] "E01000001 " "E0100000"..
#> $ LSOA_name : chr [1:32844] "City of London 001A ""..
#> $ Local_Authority_code : chr [1:32844] "E09000001 " "E0900000"..
#> $ Local_Authority_Name : chr [1:32844] "City of London " "Cit"..
#> $ IMD_rank : chr [1:32844] "29 199 " "30 379 " "1"..
#> $ IMD_decile : num [1:32844] 9 10 5 3 5 3 2 3 3 3 ...
#> $ Income_rank : chr [1:32844] "32 831 " "29 901 " "1"..
#> $ Income_decile : num [1:32844] 10 10 6 2 5 2 2 3 3 3 ...
#> $ Employment_rank : chr [1:32844] "32 742 " "31 190 " "1"..
#> $ Employment_decile : num [1:32844] 10 10 5 3 7 4 2 4 6 5 ...
#> $ Skill_rank : chr [1:32844] "32 842 " "32 832 " "2"..
#> $ Skill_decile : num [1:32844] 10 10 9 4 6 7 4 6 7 4 ...
#> $ Health_Deprivation_rank : chr [1:32844] "32 113 " "29 705 " "1"..
#> $ Health_Deprivation_decile: num [1:32844] 10 10 6 6 7 5 4 3 5 6 ...
#> $ Crime_rank : chr [1:32844] "32 662 " "32 789 " "2"..
#> $ Crime_decile : num [1:32844] 10 10 9 10 6 2 4 2 1 3 ..
#> $ Barrier_to_Housing_Rank : chr [1:32844] "7 319 " "11 707 " "2 "..
#> $ Barrier_to_Housing_Decile: num [1:32844] 3 4 1 1 1 1 1 1 1 1 ...
#> $ Living_Environment_rank : chr [1:32844] "7 789 " "13 070 " "4 "..
#> $ Living_Environment_Decile: int [1:32844] 3 4 2 3 4 4 3 3 1 2 ...
#> NULL
This datast contains 32’844 observations for 22 variables:
LSOA_code Code of the LSOA (Lower Layer Super Output Area)LSOA_name Name of the LSOAIMD_rank & IMD_decile Ranking and decile of each LSOA for IMDIncome_rank & Income_decile Ranking and decile of each LSOA for IncomeEmployment_rank & Employment_decile Ranking and decile of each LSOA for EmploymentCrime_rank & Crime_decile Ranking and decile of each LSOA for CrimeLiving_Environment_rank & Living_Environment_Decile Ranking and decile of each LSOA for Living EnvironmentHealth_Deprivation_Rank & Health_Deprivation_Decile Ranking and decile of each LSOA for Helth deprivationSkill_rank & Skill_DecileRanking and decile of each LSOA for SkillBarrier_to_Housing_rank & Barrier_to_Housing_Decile Ranking and decile of each LSOA for Barrier to housingEducation & Education1 Ranking and decile of each LSOA for EducationLocal_Authority_Name & Local_Authority_code Name and code of the local authorityFor the analysis we will keep the LSOA_code & LSOA_name to be able to do the link with the rest of the data and for answering the research questions, we need to have the rank and decile for IMD , Income, Employment, Crime, Health Deprivation & Skill.
As you can see, we have an issue with the data type of the ranks and decides, we therefore need to change their type as numeric to be able to use them easily which gives us the following:
#> 'data.frame': 32844 obs. of 14 variables:
#> $ LSOA_code : chr "E01000001" "E01000002" "E01000"..
#> $ LSOA_name : chr "City of London 001A " "City of"..
#> $ IMD_rank : int 29199 30379 14915 8678 14486 725..
#> $ IMD_decile : int 9 10 5 3 5 3 2 3 3 3 ...
#> $ Income_rank : int 32831 29901 18510 6029 14023 626..
#> $ Income_decile : int 10 10 6 2 5 2 2 3 3 3 ...
#> $ Employment_rank : int 32742 31190 15103 7833 21692 114..
#> $ Employment_decile : int 10 10 5 3 7 4 2 4 6 5 ...
#> $ Crime_rank : int 32662 32789 29363 31059 18848 49..
#> $ Crime_decile : int 10 10 9 10 6 2 4 2 1 3 ...
#> $ Health_Deprivation_rank : int 32113 29705 17600 17907 21581 16..
#> $ Health_Deprivation_decile: int 10 10 6 6 7 5 4 3 5 6 ...
#> $ Skill_rank : int 32842 32832 26386 12370 17511 20..
#> $ Skill_decile : int 10 10 9 4 6 7 4 6 7 4 ...
#> NULL
Finally we have the Postcodes Data, which is there only to give the ability to link the other two tables together.
To gain time, and avoid describing the 2,634,087 observations and 49 variables since only a few will be really interesting, we will go straight to the few we are going to keep.
So here is an insight to the kept table:
#> tibble [2,634,087 x 2] (S3: tbl_df/tbl/data.frame)
#> $ Postcode : chr [1:2634087] "AB1 0AA" "AB1 0AB" "AB1 0AD" "AB1 0"..
#> $ LSOA_code: chr [1:2634087] "S01006514" "S01006514" "S01006514" "..
#> NULL
This table, once wrangled contains only the Postcodeand the LSOA code so we are able to link the 2 other one together because Postcodes is a unique value in this table while it could be multiple times in Price paid data and the LSOA code is multiple time in this table and is a unique value in the IMD data.
Now that we talked about each dataset we can linked them all together for the rest of the project.
We will do this in 2 parts :
We then have a table like the one seen right under, I am only outputting the firsts 1000 rows since 992’818 observations is way too much :
#> tibble [992,818 x 21] (S3: tbl_df/tbl/data.frame)
#> $ Unique_transaction_code : chr [1:992818] "{8F1B26BD-60CA-53DB-"..
#> $ Postcode : chr [1:992818] "TS17 5FF" "TS15 9ZH""..
#> $ Price : int [1:992818] 221950 246995 244950 1..
#> $ Housing_type : chr [1:992818] "D" "D" "T" "S" ...
#> $ New_or_old : chr [1:992818] "Y" "Y" "Y" "Y" ...
#> $ Freehold_Leasehold : chr [1:992818] "F" "F" "F" "F" ...
#> $ Date : chr [1:992818] "2019-04-26 00:00" "2"..
#> $ LSOA_code : chr [1:992818] "E01033474" "E0101223"..
#> $ LSOA_name : chr [1:992818] "Stockton-on-Tees 023"..
#> $ IMD_rank : int [1:992818] 28901 21703 115 115 21..
#> $ IMD_decile : int [1:992818] 9 7 1 1 7 1 10 10 4 4 ..
#> $ Income_rank : int [1:992818] 30254 30573 67 67 3057..
#> $ Income_decile : int [1:992818] 10 10 1 1 10 1 10 10 3..
#> $ Employment_rank : int [1:992818] 30001 29614 154 154 29..
#> $ Employment_decile : int [1:992818] 10 10 1 1 10 1 10 10 5..
#> $ Crime_rank : int [1:992818] 27174 3933 2103 2103 3..
#> $ Crime_decile : int [1:992818] 9 2 1 1 2 1 10 10 5 1 ..
#> $ Health_Deprivation_rank : int [1:992818] 8264 11514 115 115 115..
#> $ Health_Deprivation_decile: int [1:992818] 3 4 1 1 4 1 9 9 2 3 ...
#> $ Skill_rank : int [1:992818] 28788 27495 138 138 27..
#> $ Skill_decile : int [1:992818] 9 9 1 1 9 1 10 10 7 7 ..
#> NULL
But, we have information coming from the whole UK in the sales while the data on the IMD is only about England, we therefore need to filter which leaves us with this amount of rows:
#> [1] 934103
Now let’s have a look at the final table of 934’103 observations and 21 variables which will be saved as “Final_analysis_table.csv” in the data section of the project.
| Unique_transaction_code | Postcode | Price | Housing_type | New_or_old | Freehold_Leasehold | Date | LSOA_code | LSOA_name | IMD_rank | IMD_decile | Income_rank | Income_decile | Employment_rank | Employment_decile | Crime_rank | Crime_decile | Health_Deprivation_rank | Health_Deprivation_decile | Skill_rank | Skill_decile |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {8F1B26BD-60CA-53DB-E053-6C04A8C03649} | TS17 5FF | 221950 | D | Y | F | 2019-04-26 00:00 | E01033474 | Stockton-on-Tees 023F | 28901 | 9 | 30254 | 10 | 30001 | 10 | 27174 | 9 | 8264 | 3 | 28788 | 9 |
| {8F1B26BD-60CB-53DB-E053-6C04A8C03649} | TS15 9ZH | 246995 | D | Y | F | 2019-03-29 00:00 | E01012235 | Stockton-on-Tees 024A | 21703 | 7 | 30573 | 10 | 29614 | 10 | 3933 | 2 | 11514 | 4 | 27495 | 9 |
| {8F1B26BD-60CC-53DB-E053-6C04A8C03649} | TS18 2FN | 244950 | T | Y | F | 2019-05-17 00:00 | E01012266 | Stockton-on-Tees 014E | 115 | 1 | 67 | 1 | 154 | 1 | 2103 | 1 | 115 | 1 | 138 | 1 |
| {8F1B26BD-60CD-53DB-E053-6C04A8C03649} | TS18 2FN | 139950 | S | Y | F | 2019-05-31 00:00 | E01012266 | Stockton-on-Tees 014E | 115 | 1 | 67 | 1 | 154 | 1 | 2103 | 1 | 115 | 1 | 138 | 1 |
| {8F1B26BD-60CE-53DB-E053-6C04A8C03649} | TS15 9FD | 271995 | D | Y | F | 2019-05-31 00:00 | E01012235 | Stockton-on-Tees 024A | 21703 | 7 | 30573 | 10 | 29614 | 10 | 3933 | 2 | 11514 | 4 | 27495 | 9 |
| {8F1B26BD-60CF-53DB-E053-6C04A8C03649} | TS18 2FD | 84450 | T | Y | F | 2019-04-26 00:00 | E01012266 | Stockton-on-Tees 014E | 115 | 1 | 67 | 1 | 154 | 1 | 2103 | 1 | 115 | 1 | 138 | 1 |
| {8F1B26BD-60D0-53DB-E053-6C04A8C03649} | TS17 5JS | 354950 | D | Y | F | 2019-04-29 00:00 | E01033478 | Stockton-on-Tees 023H | 31095 | 10 | 32203 | 10 | 31564 | 10 | 31499 | 10 | 29176 | 9 | 30318 | 10 |
| {8F1B26BD-60D1-53DB-E053-6C04A8C03649} | TS17 5JP | 279950 | D | Y | F | 2019-05-31 00:00 | E01033478 | Stockton-on-Tees 023H | 31095 | 10 | 32203 | 10 | 31564 | 10 | 31499 | 10 | 29176 | 9 | 30318 | 10 |
| {8F1B26BD-60D5-53DB-E053-6C04A8C03649} | TS26 0NW | 115000 | F | Y | L | 2019-05-03 00:00 | E01033467 | Hartlepool 001G | 11517 | 4 | 6950 | 3 | 15783 | 5 | 14069 | 5 | 3291 | 2 | 20115 | 7 |
| {8F1B26BD-60D6-53DB-E053-6C04A8C03649} | TS8 9GG | 145950 | T | Y | F | 2019-05-31 00:00 | E01032553 | Middlesbrough 018H | 12878 | 4 | 18082 | 6 | 11783 | 4 | 1366 | 1 | 8140 | 3 | 21543 | 7 |
| {8F1B26BD-60D7-53DB-E053-6C04A8C03649} | TS17 5FF | 158950 | S | Y | F | 2019-05-31 00:00 | E01033474 | Stockton-on-Tees 023F | 28901 | 9 | 30254 | 10 | 30001 | 10 | 27174 | 9 | 8264 | 3 | 28788 | 9 |
| {8F1B26BD-60D9-53DB-E053-6C04A8C03649} | TS18 2FL | 133950 | T | Y | F | 2019-05-24 00:00 | E01012266 | Stockton-on-Tees 014E | 115 | 1 | 67 | 1 | 154 | 1 | 2103 | 1 | 115 | 1 | 138 | 1 |
| {8F1B26BD-60DA-53DB-E053-6C04A8C03649} | TS15 9ZF | 289995 | D | Y | F | 2019-05-24 00:00 | E01012235 | Stockton-on-Tees 024A | 21703 | 7 | 30573 | 10 | 29614 | 10 | 3933 | 2 | 11514 | 4 | 27495 | 9 |
| {8F1B26BD-60DC-53DB-E053-6C04A8C03649} | TS17 0FU | 149950 | S | Y | F | 2019-06-17 00:00 | E01012285 | Stockton-on-Tees 020D | 10726 | 4 | 9716 | 3 | 7030 | 3 | 22225 | 7 | 7579 | 3 | 13507 | 5 |
| {8F1B26BD-60DD-53DB-E053-6C04A8C03649} | TS17 0FU | 179950 | S | Y | F | 2019-06-14 00:00 | E01012285 | Stockton-on-Tees 020D | 10726 | 4 | 9716 | 3 | 7030 | 3 | 22225 | 7 | 7579 | 3 | 13507 | 5 |
| {8F1B26BD-60DE-53DB-E053-6C04A8C03649} | TS15 9FL | 292950 | D | Y | F | 2019-06-20 00:00 | E01012303 | Stockton-on-Tees 024G | 31004 | 10 | 26189 | 8 | 27374 | 9 | 32221 | 10 | 21984 | 7 | 27587 | 9 |
| {8F1B26BD-60DF-53DB-E053-6C04A8C03649} | TS5 8FD | 259995 | D | Y | F | 2019-06-19 00:00 | E01012022 | Middlesbrough 015A | 19123 | 6 | 18568 | 6 | 18023 | 6 | 16108 | 5 | 8849 | 3 | 21353 | 7 |
| {8F1B26BD-60E0-53DB-E053-6C04A8C03649} | TS5 8DW | 257950 | D | Y | F | 2019-06-14 00:00 | E01012022 | Middlesbrough 015A | 19123 | 6 | 18568 | 6 | 18023 | 6 | 16108 | 5 | 8849 | 3 | 21353 | 7 |
| {8F1B26BD-60E1-53DB-E053-6C04A8C03649} | TS22 5GX | 449950 | D | Y | F | 2019-06-19 00:00 | E01011959 | Hartlepool 014A | 22123 | 7 | 24700 | 8 | 24623 | 8 | 9817 | 3 | 17385 | 6 | 27683 | 9 |
| {8F1B26BD-60E2-53DB-E053-6C04A8C03649} | TS22 5TL | 599950 | D | Y | F | 2019-06-14 00:00 | E01011959 | Hartlepool 014A | 22123 | 7 | 24700 | 8 | 24623 | 8 | 9817 | 3 | 17385 | 6 | 27683 | 9 |
| {8F1B26BD-60E3-53DB-E053-6C04A8C03649} | TS17 5JS | 409950 | D | Y | F | 2019-05-08 00:00 | E01033478 | Stockton-on-Tees 023H | 31095 | 10 | 32203 | 10 | 31564 | 10 | 31499 | 10 | 29176 | 9 | 30318 | 10 |
| {8F1B26BD-60E4-53DB-E053-6C04A8C03649} | TS13 4RX | 51000 | T | N | F | 2019-06-13 00:00 | E01033473 | Redcar and Cleveland 013E | 4211 | 2 | 2581 | 1 | 2518 | 1 | 15528 | 5 | 4401 | 2 | 3024 | 1 |
| {8F1B26BD-60E5-53DB-E053-6C04A8C03649} | TS26 0FN | 279995 | D | Y | F | 2019-06-07 00:00 | E01011982 | Hartlepool 014E | 28897 | 9 | 30081 | 10 | 27057 | 9 | 21821 | 7 | 18171 | 6 | 31537 | 10 |
| {8F1B26BD-60E7-53DB-E053-6C04A8C03649} | TS10 5DF | 92000 | S | N | F | 2019-06-21 00:00 | E01012106 | Redcar and Cleveland 003C | 11896 | 4 | 10067 | 4 | 7141 | 3 | 21377 | 7 | 4924 | 2 | 15561 | 5 |
| {8F1B26BD-60E8-53DB-E053-6C04A8C03649} | TS8 9FT | 234950 | D | Y | F | 2019-05-28 00:00 | E01032553 | Middlesbrough 018H | 12878 | 4 | 18082 | 6 | 11783 | 4 | 1366 | 1 | 8140 | 3 | 21543 | 7 |
| {8F1B26BD-60E9-53DB-E053-6C04A8C03649} | TS5 8EJ | 182950 | S | Y | F | 2019-01-31 00:00 | E01012022 | Middlesbrough 015A | 19123 | 6 | 18568 | 6 | 18023 | 6 | 16108 | 5 | 8849 | 3 | 21353 | 7 |
| {8F1B26BD-60EA-53DB-E053-6C04A8C03649} | TS4 2WD | 167950 | D | Y | F | 2019-06-21 00:00 | E01012026 | Middlesbrough 006A | 8503 | 3 | 9049 | 3 | 8432 | 3 | 2460 | 1 | 4845 | 2 | 11219 | 4 |
| {8F1B26BD-60EB-53DB-E053-6C04A8C03649} | TS8 9BF | 234950 | D | N | F | 2019-05-24 00:00 | E01012046 | Middlesbrough 013A | 15731 | 5 | 15494 | 5 | 9994 | 4 | 5756 | 2 | 10860 | 4 | 24304 | 8 |
| {8F1B26BD-60EC-53DB-E053-6C04A8C03649} | TS7 0RS | 394995 | D | Y | F | 2019-02-08 00:00 | E01032593 | Middlesbrough 020F | 29410 | 9 | 29986 | 10 | 24778 | 8 | 26731 | 9 | 15641 | 5 | 30323 | 10 |
| {8F1B26BD-62DE-53DB-E053-6C04A8C03649} | CW10 0DU | 140000 | T | N | F | 2019-06-28 00:00 | E01018419 | Cheshire East 025A | 27649 | 9 | 24574 | 8 | 27346 | 9 | 16268 | 5 | 20323 | 7 | 23019 | 8 |
| {8F1B26BD-62DF-53DB-E053-6C04A8C03649} | WA5 1JJ | 207000 | S | N | L | 2019-07-17 00:00 | E01012496 | Warrington 016B | 24718 | 8 | 25771 | 8 | 23736 | 8 | 22861 | 7 | 15861 | 5 | 22857 | 7 |
| {8F1B26BD-62E0-53DB-E053-6C04A8C03649} | CH64 4BP | 230000 | S | N | F | 2019-06-28 00:00 | E01018533 | Cheshire West and Chester 006B | 30812 | 10 | 28399 | 9 | 23855 | 8 | 30125 | 10 | 20310 | 7 | 30080 | 10 |
| {8F1B26BD-62E1-53DB-E053-6C04A8C03649} | CW5 5QR | 158000 | S | N | F | 2019-07-19 00:00 | E01018454 | Cheshire East 047B | 9707 | 3 | 7947 | 3 | 10175 | 4 | 13679 | 5 | 8709 | 3 | 4350 | 2 |
| {8F1B26BD-62E2-53DB-E053-6C04A8C03649} | CH66 8PA | 305000 | D | N | F | 2019-07-05 00:00 | E01018360 | Cheshire West and Chester 025A | 20685 | 7 | 25731 | 8 | 24798 | 8 | 18552 | 6 | 19067 | 6 | 24948 | 8 |
| {8F1B26BD-62E3-53DB-E053-6C04A8C03649} | CH3 9AL | 275000 | S | N | F | 2019-06-14 00:00 | E01018371 | Cheshire West and Chester 046C | 22761 | 7 | 19557 | 6 | 20922 | 7 | 32144 | 10 | 24606 | 8 | 23089 | 8 |
| {8F1B26BD-62E4-53DB-E053-6C04A8C03649} | ST7 3RX | 139000 | S | N | F | 2019-07-19 00:00 | E01018430 | Cheshire East 033F | 28965 | 9 | 25176 | 8 | 23194 | 8 | 32215 | 10 | 18407 | 6 | 21905 | 7 |
| {8F1B26BD-62E5-53DB-E053-6C04A8C03649} | WA16 8DL | 329000 | S | N | F | 2019-06-28 00:00 | E01018610 | Cheshire East 009C | 18930 | 6 | 14790 | 5 | 13028 | 4 | 18813 | 6 | 15722 | 5 | 18422 | 6 |
| {8F1B26BD-62E6-53DB-E053-6C04A8C03649} | CW8 4PE | 145000 | S | N | F | 2019-06-28 00:00 | E01018672 | Cheshire West and Chester 012B | 9687 | 3 | 9261 | 3 | 7570 | 3 | 14358 | 5 | 7803 | 3 | 6202 | 2 |
| {8F1B26BD-62E7-53DB-E053-6C04A8C03649} | WA6 6SG | 235000 | D | N | F | 2019-06-24 00:00 | E01018690 | Cheshire West and Chester 002F | 31325 | 10 | 30807 | 10 | 29891 | 10 | 26778 | 9 | 28692 | 9 | 32024 | 10 |
| {8F1B26BD-62E8-53DB-E053-6C04A8C03649} | CH45 6UL | 220000 | S | N | F | 2019-06-28 00:00 | E01007314 | Wirral 004E | 12103 | 4 | 14998 | 5 | 8607 | 3 | 11699 | 4 | 6892 | 3 | 21727 | 7 |
| {8F1B26BD-62E9-53DB-E053-6C04A8C03649} | CH45 4SB | 204950 | S | N | F | 2019-07-05 00:00 | E01007316 | Wirral 004F | 19939 | 7 | 21771 | 7 | 16777 | 6 | 18968 | 6 | 9915 | 4 | 24675 | 8 |
| {8F1B26BD-62EA-53DB-E053-6C04A8C03649} | CH66 1NZ | 190000 | T | N | F | 2019-07-10 00:00 | E01018547 | Cheshire West and Chester 005B | 16053 | 5 | 17164 | 6 | 9881 | 4 | 15185 | 5 | 11743 | 4 | 12621 | 4 |
| {8F1B26BD-62EB-53DB-E053-6C04A8C03649} | CW9 8AQ | 325000 | S | N | F | 2019-07-01 00:00 | E01018703 | Cheshire West and Chester 023F | 25855 | 8 | 26100 | 8 | 18945 | 6 | 26564 | 9 | 21786 | 7 | 30221 | 10 |
| {8F1B26BD-62EC-53DB-E053-6C04A8C03649} | CW11 1GJ | 125000 | T | N | F | 2019-05-31 00:00 | E01018437 | Cheshire East 030B | 11630 | 4 | 11180 | 4 | 8050 | 3 | 19364 | 6 | 5290 | 2 | 20428 | 7 |
| {8F1B26BD-62ED-53DB-E053-6C04A8C03649} | CH65 5BH | 78000 | S | N | F | 2019-06-28 00:00 | E01018552 | Cheshire West and Chester 011D | 8400 | 3 | 7878 | 3 | 6792 | 3 | 20705 | 7 | 4535 | 2 | 4768 | 2 |
| {8F1B26BD-62EE-53DB-E053-6C04A8C03649} | CW2 6EF | 85000 | T | N | F | 2019-06-18 00:00 | E01018445 | Cheshire East 045A | 3719 | 2 | 3732 | 2 | 3740 | 2 | 7320 | 3 | 3171 | 1 | 3942 | 2 |
| {8F1B26BD-62EF-53DB-E053-6C04A8C03649} | SK12 2BB | 187500 | F | N | L | 2019-06-27 00:00 | E01018585 | Cheshire East 001A | 27192 | 9 | 24620 | 8 | 20277 | 7 | 17882 | 6 | 23299 | 8 | 27941 | 9 |
| {8F1B26BD-62F0-53DB-E053-6C04A8C03649} | CH44 6QD | 74500 | T | N | F | 2019-07-15 00:00 | E01007278 | Wirral 008E | 273 | 1 | 763 | 1 | 555 | 1 | 1624 | 1 | 142 | 1 | 1594 | 1 |
| {8F1B26BD-62F1-53DB-E053-6C04A8C03649} | CW12 4RE | 430000 | D | N | F | 2019-06-27 00:00 | E01018393 | Cheshire East 022A | 20700 | 7 | 29112 | 9 | 29505 | 9 | 21267 | 7 | 29124 | 9 | 27174 | 9 |
| {8F1B26BD-62F2-53DB-E053-6C04A8C03649} | CH66 2NQ | 293000 | D | N | F | 2019-07-03 00:00 | E01018556 | Cheshire West and Chester 013A | 23445 | 8 | 21970 | 7 | 16772 | 6 | 23827 | 8 | 18388 | 6 | 18543 | 6 |
| {8F1B26BD-62F3-53DB-E053-6C04A8C03649} | CW2 8PP | 142000 | S | N | F | 2019-07-01 00:00 | E01018511 | Cheshire East 044B | 10090 | 4 | 8933 | 3 | 8595 | 3 | 17547 | 6 | 10111 | 4 | 7623 | 3 |
| {8F1B26BD-62F4-53DB-E053-6C04A8C03649} | CW2 8NN | 150000 | S | N | F | 2019-06-26 00:00 | E01018512 | Cheshire East 044C | 10119 | 4 | 11018 | 4 | 9795 | 3 | 11923 | 4 | 6613 | 3 | 6078 | 2 |
| {8F1B26BD-62F5-53DB-E053-6C04A8C03649} | CW8 1JP | 140000 | S | N | F | 2019-06-28 00:00 | E01018710 | Cheshire West and Chester 020B | 6834 | 3 | 5497 | 2 | 5990 | 2 | 17065 | 6 | 6629 | 3 | 2829 | 1 |
| {8F1B26BD-62F6-53DB-E053-6C04A8C03649} | SK11 8PT | 150000 | F | N | L | 2019-06-28 00:00 | E01018616 | Cheshire East 017B | 22695 | 7 | 23438 | 8 | 16657 | 6 | 20797 | 7 | 12536 | 4 | 31565 | 10 |
| {8F1B26BD-62F7-53DB-E053-6C04A8C03649} | CH4 8BN | 181000 | T | N | F | 2019-07-01 00:00 | E01018332 | Cheshire West and Chester 043A | 19369 | 6 | 20352 | 7 | 14454 | 5 | 17294 | 6 | 12352 | 4 | 32096 | 10 |
| {8F1B26BD-62F8-53DB-E053-6C04A8C03649} | CH44 4AG | 76000 | T | N | F | 2019-07-05 00:00 | E01007271 | Wirral 010E | 2379 | 1 | 3059 | 1 | 2036 | 1 | 6994 | 3 | 789 | 1 | 6371 | 2 |
| {8F1B26BD-62F9-53DB-E053-6C04A8C03649} | CH64 6QF | 675000 | D | N | F | 2019-06-28 00:00 | E01018537 | Cheshire West and Chester 001D | 28866 | 9 | 29218 | 9 | 28400 | 9 | 13059 | 4 | 24395 | 8 | 31922 | 10 |
| {8F1B26BD-62FA-53DB-E053-6C04A8C03649} | SK12 1PJ | 370000 | S | N | F | 2019-06-17 00:00 | E01018664 | Cheshire East 002D | 28920 | 9 | 31201 | 10 | 27050 | 9 | 27976 | 9 | 23347 | 8 | 32118 | 10 |
| {8F1B26BD-62FB-53DB-E053-6C04A8C03649} | CH1 3JQ | 160000 | T | N | F | 2019-06-11 00:00 | E01018327 | Cheshire West and Chester 033B | 7928 | 3 | 7275 | 3 | 6343 | 2 | 11164 | 4 | 2687 | 1 | 15965 | 5 |
| {8F1B26BD-62FC-53DB-E053-6C04A8C03649} | CW2 5AN | 270000 | D | N | F | 2019-06-26 00:00 | E01018494 | Cheshire East 048B | 27976 | 9 | 29451 | 9 | 24171 | 8 | 23204 | 8 | 24754 | 8 | 23428 | 8 |
| {8F1B26BD-62FD-53DB-E053-6C04A8C03649} | WA1 3HF | 183000 | S | N | L | 2019-07-12 00:00 | E01012549 | Warrington 012D | 27914 | 9 | 27017 | 9 | 24749 | 8 | 22810 | 7 | 18431 | 6 | 19938 | 7 |
| {8F1B26BD-64EC-53DB-E053-6C04A8C03649} | CW1 6DY | 150000 | S | N | F | 2019-06-28 00:00 | E01018501 | Cheshire East 038C | 15053 | 5 | 13836 | 5 | 13074 | 4 | 20945 | 7 | 11263 | 4 | 9360 | 3 |
| {8F1B26BD-64ED-53DB-E053-6C04A8C03649} | WA3 4LU | 435000 | D | N | F | 2019-06-21 00:00 | E01012471 | Warrington 001A | 23541 | 8 | 31573 | 10 | 27872 | 9 | 17285 | 6 | 10383 | 4 | 16402 | 5 |
| {8F1B26BD-64EE-53DB-E053-6C04A8C03649} | CW9 5RH | 169500 | S | N | F | 2019-07-18 00:00 | E01018717 | Cheshire West and Chester 021D | 13737 | 5 | 14565 | 5 | 14229 | 5 | 14030 | 5 | 12519 | 4 | 9776 | 3 |
| {8F1B26BD-64EF-53DB-E053-6C04A8C03649} | CW11 1BE | 280000 | D | N | F | 2019-07-05 00:00 | E01018438 | Cheshire East 030C | 32165 | 10 | 30968 | 10 | 30162 | 10 | 31532 | 10 | 21386 | 7 | 29657 | 10 |
| {8F1B26BD-64F0-53DB-E053-6C04A8C03649} | WA5 3LB | 265000 | D | N | F | 2019-06-07 00:00 | E01012494 | Warrington 015D | 28971 | 9 | 28076 | 9 | 28009 | 9 | 29793 | 10 | 20667 | 7 | 27114 | 9 |
| {8F1B26BD-64F1-53DB-E053-6C04A8C03649} | CH2 3FA | 249950 | D | N | F | 2019-07-19 00:00 | E01018344 | Cheshire West and Chester 036B | 27769 | 9 | 25180 | 8 | 26945 | 9 | 20509 | 7 | 23219 | 8 | 27073 | 9 |
| {8F1B26BD-64F2-53DB-E053-6C04A8C03649} | CW1 4AY | 126000 | S | N | F | 2019-06-21 00:00 | E01018464 | Cheshire East 039B | 8079 | 3 | 12672 | 4 | 16609 | 6 | 2657 | 1 | 8268 | 3 | 5123 | 2 |
| {8F1B26BD-64F3-53DB-E053-6C04A8C03649} | WA8 4YR | 235000 | D | N | F | 2019-06-12 00:00 | E01012421 | Halton 002D | 23303 | 8 | 23620 | 8 | 20115 | 7 | 19783 | 7 | 11216 | 4 | 24055 | 8 |
| {8F1B26BD-64F4-53DB-E053-6C04A8C03649} | CW11 3GZ | 187500 | D | N | F | 2019-06-21 00:00 | E01018441 | Cheshire East 031B | 23882 | 8 | 27976 | 9 | 25408 | 8 | 23072 | 8 | 14545 | 5 | 28557 | 9 |
| {8F1B26BD-64F5-53DB-E053-6C04A8C03649} | SK12 1HY | 789000 | D | N | F | 2019-06-14 00:00 | E01018663 | Cheshire East 002C | 31766 | 10 | 30554 | 10 | 29948 | 10 | 21881 | 7 | 25160 | 8 | 30941 | 10 |
| {8F1B26BD-64F6-53DB-E053-6C04A8C03649} | WA5 3RE | 147950 | T | N | F | 2019-06-20 00:00 | E01012494 | Warrington 015D | 28971 | 9 | 28076 | 9 | 28009 | 9 | 29793 | 10 | 20667 | 7 | 27114 | 9 |
| {8F1B26BD-64F7-53DB-E053-6C04A8C03649} | CH66 1LP | 104000 | T | N | F | 2019-06-21 00:00 | E01018546 | Cheshire West and Chester 005A | 4444 | 2 | 4655 | 2 | 2710 | 1 | 13895 | 5 | 2296 | 1 | 4423 | 2 |
| {8F1B26BD-64F8-53DB-E053-6C04A8C03649} | CW8 1HP | 90000 | T | N | F | 2019-06-21 00:00 | E01018709 | Cheshire West and Chester 020A | 12929 | 4 | 14788 | 5 | 12521 | 4 | 15842 | 5 | 7753 | 3 | 14132 | 5 |
| {8F1B26BD-64F9-53DB-E053-6C04A8C03649} | CH4 9EY | 295000 | D | N | F | 2019-07-01 00:00 | E01018335 | Cheshire West and Chester 046A | 20543 | 7 | 25696 | 8 | 26346 | 9 | 26278 | 9 | 26404 | 9 | 25716 | 8 |
| {8F1B26BD-64FA-53DB-E053-6C04A8C03649} | WA16 9QJ | 180000 | S | N | F | 2019-07-01 00:00 | E01018722 | Cheshire West and Chester 017E | 17312 | 6 | 25352 | 8 | 21860 | 7 | 21910 | 7 | 18157 | 6 | 23555 | 8 |
| {8F1B26BD-64FC-53DB-E053-6C04A8C03649} | CW12 4QP | 199950 | S | N | F | 2019-06-28 00:00 | E01018408 | Cheshire East 028B | 30548 | 10 | 28430 | 9 | 24339 | 8 | 30050 | 10 | 25750 | 8 | 26100 | 8 |
| {8F1B26BD-64FD-53DB-E053-6C04A8C03649} | SK11 7EF | 480000 | D | N | F | 2019-03-27 00:00 | E01018628 | Cheshire East 016B | 29720 | 10 | 27433 | 9 | 25199 | 8 | 23746 | 8 | 24355 | 8 | 28569 | 9 |
| {8F1B26BD-64FE-53DB-E053-6C04A8C03649} | CW9 7GB | 168000 | S | N | F | 2019-06-07 00:00 | E01018719 | Cheshire West and Chester 021E | 14244 | 5 | 12532 | 4 | 11428 | 4 | 26572 | 9 | 7119 | 3 | 11349 | 4 |
| {8F1B26BD-64FF-53DB-E053-6C04A8C03649} | WA5 3SB | 310000 | D | N | F | 2019-05-23 00:00 | E01012531 | Warrington 019E | 26499 | 9 | 24501 | 8 | 20606 | 7 | 32280 | 10 | 19204 | 6 | 20416 | 7 |
| {8F1B26BD-6500-53DB-E053-6C04A8C03649} | CW2 6PR | 360000 | D | N | F | 2019-07-11 00:00 | E01018507 | Cheshire East 046F | 31944 | 10 | 31112 | 10 | 25111 | 8 | 28322 | 9 | 25376 | 8 | 31037 | 10 |
| {8F1B26BD-6501-53DB-E053-6C04A8C03649} | CW6 9RN | 347000 | T | N | F | 2019-07-05 00:00 | E01018481 | Cheshire East 051D | 16522 | 6 | 27382 | 9 | 24995 | 8 | 23050 | 8 | 30343 | 10 | 27065 | 9 |
| {8F1B26BD-6502-53DB-E053-6C04A8C03649} | WA16 8LN | 420000 | S | N | F | 2019-06-14 00:00 | E01018608 | Cheshire East 010E | 32707 | 10 | 32502 | 10 | 32194 | 10 | 31039 | 10 | 29692 | 10 | 32692 | 10 |
| {8F1B26BD-6504-53DB-E053-6C04A8C03649} | CW7 3BF | 150000 | D | N | F | 2019-06-21 00:00 | E01018749 | Cheshire West and Chester 035D | 18635 | 6 | 14219 | 5 | 17066 | 6 | 23250 | 8 | 18377 | 6 | 10474 | 4 |
| {8F1B26BD-6505-53DB-E053-6C04A8C03649} | CW5 7JB | 265000 | D | N | F | 2019-06-19 00:00 | E01018508 | Cheshire East 048D | 28331 | 9 | 31988 | 10 | 27658 | 9 | 28936 | 9 | 19274 | 6 | 27519 | 9 |
| {8F1B26BD-6506-53DB-E053-6C04A8C03649} | WA2 7PP | 110000 | T | N | F | 2019-04-26 00:00 | E01012525 | Warrington 011F | 5292 | 2 | 7261 | 3 | 6308 | 2 | 6134 | 2 | 3955 | 2 | 6549 | 2 |
| {8F1B26BD-6507-53DB-E053-6C04A8C03649} | ST7 3EX | 225000 | D | N | F | 2019-06-28 00:00 | E01018417 | Cheshire East 033B | 22347 | 7 | 22321 | 7 | 19988 | 7 | 18402 | 6 | 18852 | 6 | 24239 | 8 |
| {8F1B26BD-6508-53DB-E053-6C04A8C03649} | CW2 6GW | 235000 | D | N | F | 2019-07-12 00:00 | E01018506 | Cheshire East 046E | 32586 | 10 | 31522 | 10 | 30386 | 10 | 30638 | 10 | 26681 | 9 | 30290 | 10 |
| {8F1B26BD-6509-53DB-E053-6C04A8C03649} | CW11 1EP | 152500 | F | N | L | 2019-07-15 00:00 | E01018442 | Cheshire East 031C | 27277 | 9 | 26172 | 8 | 26492 | 9 | 16587 | 6 | 25774 | 8 | 29741 | 10 |
| {8F1B26BD-650A-53DB-E053-6C04A8C03649} | WA5 3NF | 221000 | S | N | L | 2019-06-28 00:00 | E01012493 | Warrington 015C | 28088 | 9 | 25301 | 8 | 23539 | 8 | 30243 | 10 | 16771 | 6 | 28151 | 9 |
| {8F1B26BD-650B-53DB-E053-6C04A8C03649} | CW9 8FS | 222500 | D | N | F | 2019-07-05 00:00 | E01018700 | Cheshire West and Chester 023D | 32794 | 10 | 31863 | 10 | 31936 | 10 | 29900 | 10 | 29438 | 9 | 31731 | 10 |
| {8F1B26BD-650C-53DB-E053-6C04A8C03649} | CW1 4AA | 92000 | T | N | F | 2019-05-10 00:00 | E01018464 | Cheshire East 039B | 8079 | 3 | 12672 | 4 | 16609 | 6 | 2657 | 1 | 8268 | 3 | 5123 | 2 |
| {8F1B26BD-4595-53DB-E053-6C04A8C03649} | N1 9BT | 340000 | F | N | L | 2019-07-15 00:00 | E01002711 | Islington 021B | 12915 | 4 | 12596 | 4 | 14988 | 5 | 19340 | 6 | 12997 | 4 | 28538 | 9 |
| {8F1B26BD-4596-53DB-E053-6C04A8C03649} | HA8 9UY | 305000 | F | N | L | 2019-06-07 00:00 | E01000192 | Barnet 018A | 18475 | 6 | 15682 | 5 | 19723 | 7 | 8607 | 3 | 29094 | 9 | 25275 | 8 |
| {8355F009-BD69-55C5-E053-6B04A8C0D090} | BH2 5PS | 130000 | O | N | L | 2019-01-14 00:00 | E01033285 | Bournemouth 017G | 11627 | 4 | 12492 | 4 | 20069 | 7 | 2624 | 1 | 10201 | 4 | 12209 | 4 |
| {8355F009-BD6C-55C5-E053-6B04A8C0D090} | SP8 4HB | 396000 | O | N | F | 2019-01-31 00:00 | E01020450 | North Dorset 002B | 29201 | 9 | 26461 | 9 | 29108 | 9 | 30263 | 10 | 31744 | 10 | 18439 | 6 |
| {8355F009-BD6D-55C5-E053-6B04A8C0D090} | SP8 4EQ | 197500 | D | N | F | 2019-01-11 00:00 | E01020447 | North Dorset 001B | 17341 | 6 | 14400 | 5 | 16603 | 6 | 28663 | 9 | 16652 | 6 | 6405 | 2 |
| {8355F009-BD6E-55C5-E053-6B04A8C0D090} | BH4 9JY | 230000 | F | N | L | 2019-01-28 00:00 | E01033286 | Bournemouth 023C | 20471 | 7 | 18636 | 6 | 23196 | 8 | 9966 | 4 | 19477 | 6 | 23657 | 8 |
| {8355F009-BD6F-55C5-E053-6B04A8C0D090} | BH12 1AW | 215500 | F | N | L | 2019-01-17 00:00 | E01015386 | Poole 009A | 9710 | 3 | 8440 | 3 | 11402 | 4 | 9071 | 3 | 14073 | 5 | 9960 | 4 |
| {8355F009-BD70-55C5-E053-6B04A8C0D090} | DT11 7FS | 242000 | O | N | F | 2019-02-08 00:00 | E01020436 | North Dorset 007B | 21670 | 7 | 19476 | 6 | 22455 | 7 | 28330 | 9 | 29399 | 9 | 13968 | 5 |
| {8355F009-BD71-55C5-E053-6B04A8C0D090} | BH16 6EH | 900000 | D | N | F | 2019-01-22 00:00 | E01020470 | Purbeck 001C | 32050 | 10 | 28118 | 9 | 30187 | 10 | 27918 | 9 | 27412 | 9 | 29132 | 9 |
| {8355F009-BD72-55C5-E053-6B04A8C0D090} | SP8 5PX | 427000 | O | N | F | 2019-02-01 00:00 | E01020450 | North Dorset 002B | 29201 | 9 | 26461 | 9 | 29108 | 9 | 30263 | 10 | 31744 | 10 | 18439 | 6 |
| {8355F009-BD75-55C5-E053-6B04A8C0D090} | BH2 6BY | 262000 | F | N | L | 2019-01-16 00:00 | E01033286 | Bournemouth 023C | 20471 | 7 | 18636 | 6 | 23196 | 8 | 9966 | 4 | 19477 | 6 | 23657 | 8 |
| {8355F009-BD76-55C5-E053-6B04A8C0D090} | BH1 1LD | 150000 | O | N | L | 2019-02-11 00:00 | E01015285 | Bournemouth 021A | 12504 | 4 | 16352 | 5 | 16440 | 6 | 2575 | 1 | 12327 | 4 | 24052 | 8 |
| {8355F009-BD77-55C5-E053-6B04A8C0D090} | DT7 3DB | 149500 | F | N | L | 2019-02-04 00:00 | E01020532 | West Dorset 005B | 28011 | 9 | 20444 | 7 | 28360 | 9 | 24050 | 8 | 27884 | 9 | 27934 | 9 |
| {8355F009-BD7B-55C5-E053-6B04A8C0D090} | SP7 0QW | 350000 | O | N | F | 2019-02-15 00:00 | E01020462 | North Dorset 002D | 15688 | 5 | 22914 | 7 | 24266 | 8 | 29905 | 10 | 26957 | 9 | 20077 | 7 |
| {8355F009-BD7D-55C5-E053-6B04A8C0D090} | DT6 4BP | 668375 | D | N | F | 2019-01-25 00:00 | E01020504 | West Dorset 008C | 24687 | 8 | 25394 | 8 | 22571 | 7 | 29370 | 9 | 25545 | 8 | 21969 | 7 |
| {8355F009-BD99-55C5-E053-6B04A8C0D090} | BH10 5JG | 285000 | D | N | F | 2019-01-31 00:00 | E01015305 | Bournemouth 001C | 6513 | 2 | 5926 | 2 | 6651 | 3 | 11921 | 4 | 6775 | 3 | 4125 | 2 |
| {8355F009-BD9A-55C5-E053-6B04A8C0D090} | DT9 6HY | 455000 | O | N | F | 2019-01-25 00:00 | E01020508 | West Dorset 002B | 18750 | 6 | 27025 | 9 | 29294 | 9 | 32489 | 10 | 29843 | 10 | 22885 | 7 |
| {8355F009-BD9B-55C5-E053-6B04A8C0D090} | DT5 2NQ | 80000 | O | N | F | 2019-02-06 00:00 | E01020566 | Weymouth and Portland 009D | 18877 | 6 | 21250 | 7 | 17951 | 6 | 28058 | 9 | 14590 | 5 | 13172 | 5 |
| {8355F009-BD9C-55C5-E053-6B04A8C0D090} | DT2 8GA | 200000 | O | Y | F | 2019-01-31 00:00 | E01020537 | West Dorset 011B | 20194 | 7 | 24056 | 8 | 22800 | 7 | 22341 | 7 | 26658 | 9 | 19306 | 6 |
| {8355F009-BD9E-55C5-E053-6B04A8C0D090} | BH10 4EB | 265000 | D | N | F | 2019-01-31 00:00 | E01015337 | Bournemouth 003E | 19516 | 6 | 17025 | 6 | 17353 | 6 | 22193 | 7 | 12373 | 4 | 17550 | 6 |
| {8355F009-BDA0-55C5-E053-6B04A8C0D090} | BH22 9DP | 395000 | O | N | F | 2019-02-08 00:00 | E01020399 | East Dorset 011B | 27760 | 9 | 24594 | 8 | 23127 | 8 | 26396 | 9 | 29491 | 9 | 20274 | 7 |
| {8355F009-BDA1-55C5-E053-6B04A8C0D090} | BH1 4EX | 78000 | F | N | L | 2019-02-21 00:00 | E01015282 | Bournemouth 019E | 528 | 1 | 1747 | 1 | 511 | 1 | 902 | 1 | 610 | 1 | 4798 | 2 |
| {8355F009-BDA3-55C5-E053-6B04A8C0D090} | BH14 9AH | 449000 | D | N | F | 2019-02-08 00:00 | E01015462 | Poole 013D | 19863 | 7 | 18021 | 6 | 16270 | 5 | 17852 | 6 | 18757 | 6 | 26927 | 9 |
| {8355F009-BDA5-55C5-E053-6B04A8C0D090} | BH8 0AG | 340000 | O | N | F | 2019-02-08 00:00 | E01015352 | Bournemouth 004D | 21029 | 7 | 17923 | 6 | 20880 | 7 | 29057 | 9 | 20406 | 7 | 14595 | 5 |
| {8355F009-BDA6-55C5-E053-6B04A8C0D090} | BH17 9DU | 245000 | T | N | F | 2019-02-15 00:00 | E01015415 | Poole 004D | 6851 | 3 | 5823 | 2 | 6459 | 2 | 20408 | 7 | 4879 | 2 | 3047 | 1 |
| {8355F009-BDA7-55C5-E053-6B04A8C0D090} | BH9 1HR | 260000 | O | N | F | 2019-02-11 00:00 | E01015373 | Bournemouth 010D | 18427 | 6 | 18130 | 6 | 16934 | 6 | 16166 | 5 | 13595 | 5 | 22284 | 7 |
| {8355F009-BDA8-55C5-E053-6B04A8C0D090} | DT4 8DN | 350000 | O | N | F | 2019-02-15 00:00 | E01020554 | Weymouth and Portland 004B | 1142 | 1 | 4292 | 2 | 1687 | 1 | 303 | 1 | 398 | 1 | 4008 | 2 |
| {8355F009-BDA9-55C5-E053-6B04A8C0D090} | BH15 4JY | 115000 | O | N | F | 2019-02-14 00:00 | E01015427 | Poole 014A | 15147 | 5 | 17227 | 6 | 15524 | 5 | 23087 | 8 | 12344 | 4 | 10644 | 4 |
| {8355F009-BDAA-55C5-E053-6B04A8C0D090} | BH21 6SX | 485000 | O | N | F | 2019-01-31 00:00 | E01020412 | East Dorset 003B | 13434 | 5 | 12062 | 4 | 15189 | 5 | 14255 | 5 | 26259 | 8 | 4911 | 2 |
| {8355F009-BDAD-55C5-E053-6B04A8C0D090} | SR7 7RQ | 55000 | T | N | F | 2019-01-25 00:00 | E01020742 | County Durham 017C | 6644 | 3 | 5544 | 2 | 3806 | 2 | 12676 | 4 | 3824 | 2 | 8144 | 3 |
| {8355F009-BDAE-55C5-E053-6B04A8C0D090} | DH1 1ST | 2280000 | O | N | F | 2019-02-15 00:00 | E01020690 | County Durham 028C | 21974 | 7 | 20486 | 7 | 17865 | 6 | 21414 | 7 | 9784 | 3 | 23670 | 8 |
| {8355F009-BDAF-55C5-E053-6B04A8C0D090} | SR8 4LX | 23000 | T | N | F | 2019-01-17 00:00 | E01020764 | County Durham 036A | 291 | 1 | 748 | 1 | 77 | 1 | 29 | 1 | 527 | 1 | 915 | 1 |
| {8355F009-BDB0-55C5-E053-6B04A8C0D090} | SR8 4BH | 44000 | T | N | F | 2019-02-08 00:00 | E01020764 | County Durham 036A | 291 | 1 | 748 | 1 | 77 | 1 | 29 | 1 | 527 | 1 | 915 | 1 |
| {8355F009-BDB2-55C5-E053-6B04A8C0D090} | SR8 4BZ | 28000 | T | N | F | 2019-01-31 00:00 | E01020767 | County Durham 036C | 569 | 1 | 1552 | 1 | 207 | 1 | 56 | 1 | 155 | 1 | 3016 | 1 |
| {8355F009-B361-55C5-E053-6B04A8C0D090} | WF9 2FR | 125000 | D | N | F | 2019-01-25 00:00 | E01011862 | Wakefield 044C | 4599 | 2 | 6018 | 2 | 4289 | 2 | 3095 | 1 | 2352 | 1 | 4848 | 2 |
| {8355F009-B362-55C5-E053-6B04A8C0D090} | WF2 0DU | 130000 | T | N | F | 2019-02-08 00:00 | E01011924 | Wakefield 019C | 12988 | 4 | 15330 | 5 | 16328 | 5 | 6176 | 2 | 11892 | 4 | 9673 | 3 |
| {8355F009-B364-55C5-E053-6B04A8C0D090} | LS8 3AP | 159000 | S | N | F | 2019-02-08 00:00 | E01011424 | Leeds 047B | 4665 | 2 | 6380 | 2 | 7812 | 3 | 672 | 1 | 10778 | 4 | 3190 | 1 |
| {8355F009-B366-55C5-E053-6B04A8C0D090} | LS19 6QA | 240000 | T | N | F | 2019-01-18 00:00 | E01011457 | Leeds 027C | 28797 | 9 | 30576 | 10 | 31781 | 10 | 25620 | 8 | 20632 | 7 | 31836 | 10 |
| {8355F009-B367-55C5-E053-6B04A8C0D090} | BD9 4LS | 65000 | S | N | F | 2019-02-08 00:00 | E01010793 | Bradford 025D | 6952 | 3 | 9378 | 3 | 10305 | 4 | 2821 | 1 | 10677 | 4 | 10693 | 4 |
| {8355F009-B369-55C5-E053-6B04A8C0D090} | HD4 5SS | 109000 | T | N | L | 2019-01-31 00:00 | E01011154 | Kirklees 045D | 9774 | 3 | 7205 | 3 | 12093 | 4 | 8190 | 3 | 11745 | 4 | 5816 | 2 |
| {8355F009-B36A-55C5-E053-6B04A8C0D090} | BD12 0JT | 142000 | S | N | F | 2019-01-17 00:00 | E01010865 | Bradford 060D | 11215 | 4 | 17515 | 6 | 15988 | 5 | 3657 | 2 | 11571 | 4 | 8499 | 3 |
| {8355F009-B36D-55C5-E053-6B04A8C0D090} | BD18 2BW | 138000 | S | N | F | 2019-02-08 00:00 | E01010779 | Bradford 021C | 4351 | 2 | 5552 | 2 | 4775 | 2 | 617 | 1 | 4912 | 2 | 4421 | 2 |
| {8355F009-B36E-55C5-E053-6B04A8C0D090} | BD22 8JL | 161250 | T | N | F | 2019-02-01 00:00 | E01010854 | Bradford 023A | 12588 | 4 | 16525 | 6 | 12904 | 4 | 8196 | 3 | 10244 | 4 | 15048 | 5 |
| {8355F009-B370-55C5-E053-6B04A8C0D090} | WF4 5DE | 104000 | T | N | F | 2019-02-08 00:00 | E01011802 | Wakefield 031D | 17370 | 6 | 15920 | 5 | 16245 | 5 | 11040 | 4 | 14747 | 5 | 17545 | 6 |
| {8355F009-B371-55C5-E053-6B04A8C0D090} | BD10 0AT | 109000 | T | N | F | 2019-02-04 00:00 | E01010654 | Bradford 027C | 1052 | 1 | 1737 | 1 | 1940 | 1 | 19 | 1 | 3332 | 2 | 598 | 1 |
| {8355F009-B375-55C5-E053-6B04A8C0D090} | WF1 2FJ | 270000 | D | N | F | 2019-02-15 00:00 | E01011887 | Wakefield 008B | 26407 | 9 | 29115 | 9 | 27929 | 9 | 15250 | 5 | 19308 | 6 | 21217 | 7 |
| {8355F009-B377-55C5-E053-6B04A8C0D090} | WF2 8JL | 193000 | S | N | F | 2019-01-07 00:00 | E01011903 | Wakefield 028B | 8408 | 3 | 13086 | 4 | 5029 | 2 | 4211 | 2 | 4734 | 2 | 11297 | 4 |
| {8355F009-B37B-55C5-E053-6B04A8C0D090} | HD7 5HN | 535000 | D | N | F | 2019-01-31 00:00 | E01011073 | Kirklees 049C | 10245 | 4 | 10698 | 4 | 10042 | 4 | 13037 | 4 | 9074 | 3 | 12997 | 4 |
| {8355F009-B37D-55C5-E053-6B04A8C0D090} | LS17 5BE | 140000 | F | N | L | 2019-02-07 00:00 | E01011514 | Leeds 025E | 23267 | 8 | 26571 | 9 | 22732 | 7 | 12059 | 4 | 19655 | 6 | 28897 | 9 |
| {8355F009-B37F-55C5-E053-6B04A8C0D090} | HX7 8DZ | 220000 | F | N | L | 2019-01-25 00:00 | E01010888 | Calderdale 004E | 14403 | 5 | 14517 | 5 | 14232 | 5 | 15357 | 5 | 11848 | 4 | 28137 | 9 |
| {8355F009-B380-55C5-E053-6B04A8C0D090} | WF8 2QS | 152500 | S | N | F | 2019-01-31 00:00 | E01011853 | Wakefield 018D | 6102 | 2 | 6026 | 2 | 4905 | 2 | 11764 | 4 | 5779 | 2 | 2608 | 1 |
| {8355F009-B382-55C5-E053-6B04A8C0D090} | LS4 2SE | 45000 | F | N | L | 2019-01-31 00:00 | E01011480 | Leeds 045B | 16197 | 5 | 24348 | 8 | 20838 | 7 | 2286 | 1 | 14533 | 5 | 20462 | 7 |
| {8355F009-B386-55C5-E053-6B04A8C0D090} | WF14 9FA | 208000 | S | N | F | 2019-01-14 00:00 | E01011216 | Kirklees 021A | 24655 | 8 | 24086 | 8 | 25731 | 8 | 9270 | 3 | 16691 | 6 | 27945 | 9 |
| {8355F009-B387-55C5-E053-6B04A8C0D090} | WF5 9EH | 187500 | S | N | F | 2019-01-11 00:00 | E01011828 | Wakefield 021F | 19711 | 7 | 20260 | 7 | 23464 | 8 | 10659 | 4 | 17072 | 6 | 13180 | 5 |
| {8355F009-B388-55C5-E053-6B04A8C0D090} | LS19 7HG | 162000 | T | N | F | 2019-02-01 00:00 | E01011273 | Leeds 010B | 19375 | 6 | 19671 | 6 | 19396 | 6 | 13259 | 5 | 12938 | 4 | 22866 | 7 |
| {8355F009-B389-55C5-E053-6B04A8C0D090} | HD3 3FW | 123000 | T | N | F | 2019-01-25 00:00 | E01011070 | Kirklees 052A | 18464 | 6 | 20281 | 7 | 21895 | 7 | 18121 | 6 | 25480 | 8 | 23408 | 8 |
| {8355F009-B38D-55C5-E053-6B04A8C0D090} | WF6 1EP | 98500 | T | N | F | 2019-02-18 00:00 | E01011822 | Wakefield 016F | 8959 | 3 | 12970 | 4 | 12406 | 4 | 1176 | 1 | 6558 | 2 | 6094 | 2 |
| {8355F009-B38E-55C5-E053-6B04A8C0D090} | LS13 1GH | 195000 | T | N | F | 2019-01-18 00:00 | E01011325 | Leeds 046B | 7939 | 3 | 10261 | 4 | 8559 | 3 | 2372 | 1 | 7083 | 3 | 8708 | 3 |
| {8355F009-B390-55C5-E053-6B04A8C0D090} | BD6 2AR | 137000 | S | N | F | 2019-01-14 00:00 | E01010867 | Bradford 059G | 8448 | 3 | 6875 | 3 | 9708 | 3 | 3745 | 2 | 8953 | 3 | 5796 | 2 |
| {8355F009-B391-55C5-E053-6B04A8C0D090} | HD9 2AA | 510000 | D | N | F | 2019-01-10 00:00 | E01011180 | Kirklees 058A | 27915 | 9 | 27554 | 9 | 27065 | 9 | 25146 | 8 | 26524 | 9 | 28859 | 9 |
| {8355F009-B395-55C5-E053-6B04A8C0D090} | BD22 7FA | 168000 | D | N | F | 2019-02-15 00:00 | E01010862 | Bradford 014C | 23732 | 8 | 21529 | 7 | 22751 | 7 | 22542 | 7 | 14862 | 5 | 20650 | 7 |
| {8355F009-B396-55C5-E053-6B04A8C0D090} | WF1 3PR | 64000 | F | N | L | 2019-02-01 00:00 | E01011912 | Wakefield 017B | 3384 | 2 | 5426 | 2 | 2354 | 1 | 2308 | 1 | 5052 | 2 | 3093 | 1 |
| {8355F009-B71B-55C5-E053-6B04A8C0D090} | BS6 7SS | 450000 | T | N | F | 2019-02-06 00:00 | E01014620 | Bristol 011D | 30412 | 10 | 30612 | 10 | 25055 | 8 | 14399 | 5 | 28682 | 9 | 32271 | 10 |
| {8355F009-B71C-55C5-E053-6B04A8C0D090} | BS3 1HT | 210000 | T | N | F | 2019-01-29 00:00 | E01033361 | Bristol 039F | 4598 | 2 | 6998 | 3 | 8546 | 3 | 67 | 1 | 1348 | 1 | 17469 | 6 |
| {8355F009-B71D-55C5-E053-6B04A8C0D090} | BS16 1QB | 225000 | F | N | L | 2019-01-25 00:00 | E01014660 | Bristol 014A | 4499 | 2 | 5337 | 2 | 5603 | 2 | 4469 | 2 | 4797 | 2 | 2355 | 1 |
| {8355F009-B722-55C5-E053-6B04A8C0D090} | BS3 2BX | 450000 | O | N | F | 2019-01-31 00:00 | E01014700 | Bristol 036E | 25217 | 8 | 30726 | 10 | 27006 | 9 | 9798 | 3 | 20989 | 7 | 20290 | 7 |
| {8355F009-B724-55C5-E053-6B04A8C0D090} | BS3 5DP | 175000 | F | N | L | 2019-01-15 00:00 | E01014579 | Bristol 045A | 6107 | 2 | 6939 | 3 | 7118 | 3 | 5296 | 2 | 6873 | 3 | 4344 | 2 |
| {8355F009-B725-55C5-E053-6B04A8C0D090} | BS3 5DP | 195000 | F | N | L | 2019-01-14 00:00 | E01014579 | Bristol 045A | 6107 | 2 | 6939 | 3 | 7118 | 3 | 5296 | 2 | 6873 | 3 | 4344 | 2 |
| {8355F009-B730-55C5-E053-6B04A8C0D090} | BS1 6FL | 488334 | O | N | L | 2019-02-05 00:00 | E01033355 | Bristol 054C | 8878 | 3 | 11556 | 4 | 11748 | 4 | 12190 | 4 | 9347 | 3 | 9787 | 3 |
| {8355F009-B731-55C5-E053-6B04A8C0D090} | BS7 0JP | 280000 | T | N | L | 2019-02-08 00:00 | E01014634 | Bristol 005B | 23040 | 8 | 25858 | 8 | 30224 | 10 | 6434 | 2 | 17408 | 6 | 24755 | 8 |
| {8355F009-B735-55C5-E053-6B04A8C0D090} | BS5 7SP | 229000 | T | N | F | 2019-01-23 00:00 | E01014626 | Bristol 021C | 6515 | 2 | 6726 | 3 | 7207 | 3 | 5626 | 2 | 6937 | 3 | 8111 | 3 |
| {8355F009-B737-55C5-E053-6B04A8C0D090} | BS6 6SU | 825000 | T | N | F | 2019-01-11 00:00 | E01014559 | Bristol 022C | 26995 | 9 | 27939 | 9 | 31104 | 10 | 18496 | 6 | 20839 | 7 | 31117 | 10 |
| {8355F009-B73A-55C5-E053-6B04A8C0D090} | BS8 4RJ | 975000 | O | N | F | 2019-02-06 00:00 | E01014549 | Bristol 034B | 15519 | 5 | 15656 | 5 | 15643 | 5 | 15152 | 5 | 18901 | 6 | 28271 | 9 |
| {8355F009-B73B-55C5-E053-6B04A8C0D090} | BS1 5JG | 950000 | O | N | F | 2019-02-21 00:00 | E01014542 | Bristol 032C | 18266 | 6 | 29666 | 10 | 32266 | 10 | 6443 | 2 | 10281 | 4 | 31234 | 10 |
| {8355F009-B73C-55C5-E053-6B04A8C0D090} | BS7 8JJ | 820 | O | N | F | 2019-02-11 00:00 | E01014666 | Bristol 017C | 30477 | 10 | 30416 | 10 | 30609 | 10 | 15338 | 5 | 30143 | 10 | 32204 | 10 |
| {8355F009-B73D-55C5-E053-6B04A8C0D090} | BS7 8JJ | 820 | O | N | F | 2019-01-11 00:00 | E01014666 | Bristol 017C | 30477 | 10 | 30416 | 10 | 30609 | 10 | 15338 | 5 | 30143 | 10 | 32204 | 10 |
| {8355F009-B73E-55C5-E053-6B04A8C0D090} | BS7 8JJ | 820 | O | N | F | 2019-02-11 00:00 | E01014666 | Bristol 017C | 30477 | 10 | 30416 | 10 | 30609 | 10 | 15338 | 5 | 30143 | 10 | 32204 | 10 |
| {8355F009-B73F-55C5-E053-6B04A8C0D090} | BS3 5AU | 290000 | O | N | F | 2019-01-09 00:00 | E01014736 | Bristol 040D | 9837 | 3 | 11490 | 4 | 12021 | 4 | 7610 | 3 | 7188 | 3 | 6364 | 2 |
| {8355F009-B741-55C5-E053-6B04A8C0D090} | BS2 8HD | 410000 | O | N | F | 2019-01-21 00:00 | E01014542 | Bristol 032C | 18266 | 6 | 29666 | 10 | 32266 | 10 | 6443 | 2 | 10281 | 4 | 31234 | 10 |
| {8355F009-B742-55C5-E053-6B04A8C0D090} | BS6 6JA | 465000 | O | N | F | 2019-01-30 00:00 | E01014560 | Bristol 022D | 25109 | 8 | 28102 | 9 | 29421 | 9 | 13123 | 4 | 20345 | 7 | 32148 | 10 |
| {8355F009-B743-55C5-E053-6B04A8C0D090} | BS13 8LU | 245000 | T | N | F | 2019-01-21 00:00 | E01014515 | Bristol 050A | 4064 | 2 | 5842 | 2 | 5675 | 2 | 1744 | 1 | 5305 | 2 | 1203 | 1 |
| {8355F009-B744-55C5-E053-6B04A8C0D090} | BS14 9EA | 380000 | S | N | F | 2019-02-04 00:00 | E01014708 | Bristol 049G | 15316 | 5 | 18647 | 6 | 16812 | 6 | 5709 | 2 | 15395 | 5 | 10884 | 4 |
| {8355F009-B745-55C5-E053-6B04A8C0D090} | BS14 9AL | 115000 | F | N | L | 2019-02-13 00:00 | E01014613 | Bristol 047E | 15211 | 5 | 17190 | 6 | 16563 | 6 | 11370 | 4 | 13886 | 5 | 8890 | 3 |
| {8355F009-B746-55C5-E053-6B04A8C0D090} | BS1 1RU | 40500 | O | N | F | 2019-01-16 00:00 | E01014540 | Bristol 032B | 12154 | 4 | 21851 | 7 | 26159 | 8 | 1511 | 1 | 16466 | 6 | 12672 | 4 |
| {8355F009-B747-55C5-E053-6B04A8C0D090} | BS14 0AH | 220000 | S | N | F | 2019-01-28 00:00 | E01014607 | Bristol 047A | 11390 | 4 | 15461 | 5 | 17841 | 6 | 613 | 1 | 12192 | 4 | 8193 | 3 |
| {8355F009-B748-55C5-E053-6B04A8C0D090} | BS7 9ES | 343000 | O | N | L | 2019-01-22 00:00 | E01014508 | Bristol 016B | 18629 | 6 | 24377 | 8 | 22507 | 7 | 5325 | 2 | 13908 | 5 | 30400 | 10 |
| {8355F009-B749-55C5-E053-6B04A8C0D090} | BS4 3LT | 260000 | T | N | F | 2019-01-31 00:00 | E01014531 | Bristol 035D | 18045 | 6 | 20893 | 7 | 25550 | 8 | 10736 | 4 | 19931 | 7 | 17333 | 6 |
| {8355F009-B74A-55C5-E053-6B04A8C0D090} | BS3 4EY | 650000 | O | N | L | 2019-02-15 00:00 | E01033361 | Bristol 039F | 4598 | 2 | 6998 | 3 | 8546 | 3 | 67 | 1 | 1348 | 1 | 17469 | 6 |
| {8355F009-B74B-55C5-E053-6B04A8C0D090} | BS7 0UL | 332500 | S | N | F | 2019-01-25 00:00 | E01014631 | Bristol 004A | 16300 | 5 | 13649 | 5 | 13598 | 5 | 17356 | 6 | 6589 | 3 | 24644 | 8 |
| {8355F009-B74C-55C5-E053-6B04A8C0D090} | BS8 1LP | 1007500 | S | N | F | 2019-01-21 00:00 | E01014551 | Bristol 026A | 20720 | 7 | 29405 | 9 | 31404 | 10 | 10766 | 4 | 15353 | 5 | 21289 | 7 |
| {8355F009-B74D-55C5-E053-6B04A8C0D090} | BS1 1NR | 341763 | O | N | L | 2019-01-25 00:00 | E01014540 | Bristol 032B | 12154 | 4 | 21851 | 7 | 26159 | 8 | 1511 | 1 | 16466 | 6 | 12672 | 4 |
| {8355F009-B74E-55C5-E053-6B04A8C0D090} | MK2 2HN | 322500 | D | N | F | 2019-01-23 00:00 | E01016710 | Milton Keynes 030A | 10999 | 4 | 10903 | 4 | 12267 | 4 | 3525 | 2 | 13902 | 5 | 7549 | 3 |
| {8355F009-BA17-55C5-E053-6B04A8C0D090} | TR16 5TP | 101000 | T | N | F | 2019-01-16 00:00 | E01018916 | Cornwall 050A | 9892 | 4 | 10608 | 4 | 10340 | 4 | 23781 | 8 | 11711 | 4 | 10435 | 4 |
| {8355F009-BA1B-55C5-E053-6B04A8C0D090} | TR27 5AF | 127500 | O | N | F | 2019-01-31 00:00 | E01018982 | Cornwall 057C | 11436 | 4 | 10212 | 4 | 12156 | 4 | 19848 | 7 | 19434 | 6 | 8126 | 3 |
| {8355F009-BA1C-55C5-E053-6B04A8C0D090} | TR18 2HZ | 140000 | O | N | F | 2019-01-28 00:00 | E01018999 | Cornwall 068C | 3874 | 2 | 3910 | 2 | 3100 | 1 | 3950 | 2 | 4366 | 2 | 14325 | 5 |
| {8355F009-BA1D-55C5-E053-6B04A8C0D090} | TR7 2TB | 332500 | D | N | F | 2019-01-21 00:00 | E01019018 | Cornwall 021A | 23996 | 8 | 22051 | 7 | 19403 | 6 | 30336 | 10 | 19803 | 7 | 25336 | 8 |
| {8355F009-BA20-55C5-E053-6B04A8C0D090} | TR4 9LF | 208332 | O | N | F | 2019-01-22 00:00 | E01018819 | Cornwall 043A | 20905 | 7 | 18065 | 6 | 15733 | 5 | 30311 | 10 | 19882 | 7 | 15408 | 5 |
| {8355F009-BA21-55C5-E053-6B04A8C0D090} | TR27 4DY | 120000 | F | N | L | 2019-02-05 00:00 | E01018982 | Cornwall 057C | 11436 | 4 | 10212 | 4 | 12156 | 4 | 19848 | 7 | 19434 | 6 | 8126 | 3 |
| {8355F009-BA22-55C5-E053-6B04A8C0D090} | EX23 0EH | 222222 | O | N | F | 2019-01-18 00:00 | E01018951 | Cornwall 002B | 10912 | 4 | 16402 | 5 | 16818 | 6 | 30514 | 10 | 25948 | 8 | 13305 | 5 |
| {8355F009-BA23-55C5-E053-6B04A8C0D090} | TR26 3HW | 136000 | O | N | F | 2019-01-31 00:00 | E01018985 | Cornwall 058A | 19312 | 6 | 19990 | 7 | 16782 | 6 | 31963 | 10 | 27628 | 9 | 20868 | 7 |
| {8355F009-BA24-55C5-E053-6B04A8C0D090} | PL25 4AN | 35000 | O | N | F | 2019-01-24 00:00 | E01019047 | Cornwall 038D | 7549 | 3 | 9415 | 3 | 3632 | 2 | 8490 | 3 | 7380 | 3 | 14247 | 5 |
| {8355F009-BA27-55C5-E053-6B04A8C0D090} | EX23 0EH | 265000 | O | N | F | 2019-01-17 00:00 | E01018951 | Cornwall 002B | 10912 | 4 | 16402 | 5 | 16818 | 6 | 30514 | 10 | 25948 | 8 | 13305 | 5 |
| {8355F009-BA29-55C5-E053-6B04A8C0D090} | PL26 7AW | 375000 | O | N | F | 2019-02-15 00:00 | E01019067 | Cornwall 041E | 14793 | 5 | 19553 | 6 | 23145 | 8 | 28765 | 9 | 20079 | 7 | 24123 | 8 |
| {8355F009-BA2A-55C5-E053-6B04A8C0D090} | TR19 6JB | 500000 | O | N | F | 2019-01-14 00:00 | E01018992 | Cornwall 069A | 14154 | 5 | 16459 | 6 | 17451 | 6 | 25368 | 8 | 21735 | 7 | 25718 | 8 |
| {8355F009-BA2B-55C5-E053-6B04A8C0D090} | PL31 2HU | 315000 | O | N | F | 2019-01-18 00:00 | E01018933 | Cornwall 014B | 2579 | 1 | 2914 | 1 | 2402 | 1 | 5118 | 2 | 2548 | 1 | 4027 | 2 |
| {8355F009-BA2D-55C5-E053-6B04A8C0D090} | PL26 6AZ | 1220000 | O | N | F | 2019-01-24 00:00 | E01019067 | Cornwall 041E | 14793 | 5 | 19553 | 6 | 23145 | 8 | 28765 | 9 | 20079 | 7 | 24123 | 8 |
| {8355F009-BA30-55C5-E053-6B04A8C0D090} | TR9 6NE | 218000 | S | N | F | 2019-02-01 00:00 | E01019065 | Cornwall 019F | 13499 | 5 | 14322 | 5 | 13553 | 5 | 32117 | 10 | 13125 | 4 | 6446 | 2 |
| {8355F009-BA31-55C5-E053-6B04A8C0D090} | PL14 4NP | 152000 | O | N | L | 2019-01-28 00:00 | E01018758 | Cornwall 016A | 10481 | 4 | 12918 | 4 | 9861 | 4 | 26475 | 9 | 12038 | 4 | 8075 | 3 |
| {8355F009-BA33-55C5-E053-6B04A8C0D090} | TR7 1NJ | 525000 | O | N | F | 2019-01-29 00:00 | E01019028 | Cornwall 020A | 8820 | 3 | 7407 | 3 | 6990 | 3 | 10375 | 4 | 9599 | 3 | 18868 | 6 |
| {8355F009-BA34-55C5-E053-6B04A8C0D090} | TR7 1NA | 295000 | T | N | F | 2019-02-01 00:00 | E01019028 | Cornwall 020A | 8820 | 3 | 7407 | 3 | 6990 | 3 | 10375 | 4 | 9599 | 3 | 18868 | 6 |
| {8355F009-BA35-55C5-E053-6B04A8C0D090} | PL26 8EP | 146000 | O | N | F | 2019-01-25 00:00 | E01019052 | Cornwall 024A | 8372 | 3 | 11419 | 4 | 11051 | 4 | 27662 | 9 | 13885 | 5 | 4123 | 2 |
| {8355F009-BA36-55C5-E053-6B04A8C0D090} | PL12 5BJ | 126770 | F | N | L | 2019-01-25 00:00 | E01018785 | Cornwall 023D | 13965 | 5 | 19370 | 6 | 19601 | 6 | 27346 | 9 | 22152 | 7 | 19921 | 7 |
| {8355F009-BA37-55C5-E053-6B04A8C0D090} | EX23 0DJ | 39995 | O | N | L | 2019-02-08 00:00 | E01018951 | Cornwall 002B | 10912 | 4 | 16402 | 5 | 16818 | 6 | 30514 | 10 | 25948 | 8 | 13305 | 5 |
| {8355F009-BA39-55C5-E053-6B04A8C0D090} | TR8 5RL | 975000 | D | N | F | 2019-01-18 00:00 | E01019031 | Cornwall 020D | 13161 | 5 | 15433 | 5 | 14997 | 5 | 21007 | 7 | 15632 | 5 | 18348 | 6 |
| {8355F009-BA3A-55C5-E053-6B04A8C0D090} | TR2 4PZ | 275000 | S | N | F | 2019-02-01 00:00 | E01019066 | Cornwall 041D | 14986 | 5 | 16298 | 5 | 23697 | 8 | 32141 | 10 | 20500 | 7 | 24220 | 8 |
| {8355F009-BA3D-55C5-E053-6B04A8C0D090} | EX23 8FJ | 415000 | D | N | F | 2019-01-25 00:00 | E01018937 | Cornwall 001B | 8452 | 3 | 5833 | 2 | 4231 | 2 | 26938 | 9 | 15372 | 5 | 5817 | 2 |
| {8355F009-BA3E-55C5-E053-6B04A8C0D090} | TR7 2NH | 265000 | T | N | F | 2019-01-25 00:00 | E01019020 | Cornwall 021C | 3218 | 1 | 3593 | 2 | 1907 | 1 | 7177 | 3 | 2829 | 1 | 8769 | 3 |
| {8355F009-BA3F-55C5-E053-6B04A8C0D090} | TR27 4QT | 168000 | D | N | F | 2019-02-07 00:00 | E01018983 | Cornwall 057D | 22261 | 7 | 19133 | 6 | 18333 | 6 | 24886 | 8 | 18353 | 6 | 23509 | 8 |
| {8355F009-BA40-55C5-E053-6B04A8C0D090} | PL17 7DF | 215000 | O | N | F | 2019-02-18 00:00 | E01018752 | Cornwall 013C | 17741 | 6 | 17682 | 6 | 15630 | 5 | 26524 | 9 | 17091 | 6 | 14635 | 5 |
| {8355F009-BA44-55C5-E053-6B04A8C0D090} | PL30 3JZ | 550000 | O | N | F | 2019-01-31 00:00 | E01018940 | Cornwall 003A | 14805 | 5 | 15531 | 5 | 15664 | 5 | 30958 | 10 | 16900 | 6 | 20303 | 7 |
| {8355F009-BA4A-55C5-E053-6B04A8C0D090} | PL11 2AW | 12000 | O | N | L | 2019-01-11 00:00 | E01018797 | Cornwall 029A | 5989 | 2 | 5298 | 2 | 4216 | 2 | 15493 | 5 | 2413 | 1 | 8906 | 3 |
| {8355F009-BDB4-55C5-E053-6B04A8C0D090} | DL16 6HP | 30000 | T | N | F | 2019-02-12 00:00 | E01020842 | County Durham 049D | 6159 | 2 | 4423 | 2 | 3676 | 2 | 16229 | 5 | 6834 | 3 | 4150 | 2 |
| {8355F009-BDB5-55C5-E053-6B04A8C0D090} | DL15 0PD | 15000 | O | N | F | 2019-02-11 00:00 | E01020904 | County Durham 046F | 11291 | 4 | 11700 | 4 | 7251 | 3 | 3544 | 2 | 5781 | 2 | 20081 | 7 |
| {8355F009-BDB6-55C5-E053-6B04A8C0D090} | SR8 3DQ | 51000 | T | N | F | 2019-02-04 00:00 | E01020751 | County Durham 025A | 6088 | 2 | 8518 | 3 | 2889 | 1 | 4439 | 2 | 3390 | 2 | 6824 | 3 |
| {8355F009-BDB7-55C5-E053-6B04A8C0D090} | DL15 8PY | 39999 | T | N | F | 2019-01-25 00:00 | E01020898 | County Durham 045F | 906 | 1 | 600 | 1 | 271 | 1 | 12657 | 4 | 632 | 1 | 3099 | 1 |
| {8355F009-BDB8-55C5-E053-6B04A8C0D090} | DH9 7AW | 30000 | O | N | F | 2019-01-18 00:00 | E01020671 | County Durham 009D | 1680 | 1 | 1675 | 1 | 711 | 1 | 1905 | 1 | 2524 | 1 | 3087 | 1 |
| {8355F009-BDB9-55C5-E053-6B04A8C0D090} | SR7 8JW | 70000 | S | N | F | 2019-02-06 00:00 | E01020787 | County Durham 016E | 8076 | 3 | 5781 | 2 | 3965 | 2 | 13595 | 5 | 7221 | 3 | 8797 | 3 |
| {8355F009-BDBA-55C5-E053-6B04A8C0D090} | DL14 7DG | 32000 | T | N | F | 2019-01-18 00:00 | E01020872 | County Durham 056C | 11087 | 4 | 10352 | 4 | 8918 | 3 | 5510 | 2 | 5141 | 2 | 16544 | 6 |
| {8355F009-BDBB-55C5-E053-6B04A8C0D090} | DL2 2TU | 575000 | O | N | F | 2019-02-01 00:00 | E01012334 | Darlington 001B | 18804 | 6 | 26934 | 9 | 25451 | 8 | 15696 | 5 | 19524 | 6 | 28396 | 9 |
| {8355F009-BDBF-55C5-E053-6B04A8C0D090} | DH9 9RT | 190000 | D | N | F | 2019-01-17 00:00 | E01020676 | County Durham 001E | 16102 | 5 | 14831 | 5 | 10815 | 4 | 28088 | 9 | 7027 | 3 | 16397 | 5 |
| {8355F009-BDC0-55C5-E053-6B04A8C0D090} | SR8 3LZ | 32750 | T | N | F | 2019-02-04 00:00 | E01020751 | County Durham 025A | 6088 | 2 | 8518 | 3 | 2889 | 1 | 4439 | 2 | 3390 | 2 | 6824 | 3 |
| {8355F009-BDC1-55C5-E053-6B04A8C0D090} | DL1 4DT | 72000 | T | N | F | 2019-02-01 00:00 | E01012304 | Darlington 012A | 303 | 1 | 357 | 1 | 374 | 1 | 766 | 1 | 340 | 1 | 1088 | 1 |
| {8355F009-BDC2-55C5-E053-6B04A8C0D090} | DH6 1NG | 28000 | T | N | F | 2019-02-06 00:00 | E01020729 | County Durham 027D | 7365 | 3 | 6889 | 3 | 5856 | 2 | 7074 | 3 | 8509 | 3 | 8149 | 3 |
| {8355F009-BDC3-55C5-E053-6B04A8C0D090} | DH9 9PJ | 45500 | T | N | F | 2019-01-21 00:00 | E01020676 | County Durham 001E | 16102 | 5 | 14831 | 5 | 10815 | 4 | 28088 | 9 | 7027 | 3 | 16397 | 5 |
| {8355F009-BDC5-55C5-E053-6B04A8C0D090} | DL14 7DL | 37000 | T | N | F | 2019-01-18 00:00 | E01020869 | County Durham 055B | 5895 | 2 | 6458 | 2 | 4558 | 2 | 2551 | 1 | 3876 | 2 | 11822 | 4 |
| {8355F009-BDC6-55C5-E053-6B04A8C0D090} | SR7 7UB | 150000 | O | N | F | 2019-02-01 00:00 | E01020740 | County Durham 017A | 14665 | 5 | 14158 | 5 | 11034 | 4 | 12563 | 4 | 7333 | 3 | 11461 | 4 |
| {8355F009-BDC8-55C5-E053-6B04A8C0D090} | DL3 0NX | 73000 | T | N | F | 2019-01-11 00:00 | E01012349 | Darlington 004A | 552 | 1 | 662 | 1 | 643 | 1 | 552 | 1 | 498 | 1 | 1383 | 1 |
| {8355F009-BDC9-55C5-E053-6B04A8C0D090} | DL5 7QD | 175000 | D | N | F | 2019-02-15 00:00 | E01020814 | County Durham 060B | 15674 | 5 | 14750 | 5 | 14178 | 5 | 11275 | 4 | 6367 | 2 | 20356 | 7 |
| {8355F009-BDCA-55C5-E053-6B04A8C0D090} | DL3 0GZ | 105000 | T | N | F | 2019-01-25 00:00 | E01012309 | Darlington 006A | 24336 | 8 | 26043 | 8 | 21114 | 7 | 5952 | 2 | 19410 | 6 | 23084 | 8 |
| {8355F009-BDCB-55C5-E053-6B04A8C0D090} | SR4 6LZ | 45000 | T | N | F | 2019-02-19 00:00 | E01008757 | Sunderland 015A | 5051 | 2 | 4454 | 2 | 3829 | 2 | 2127 | 1 | 2676 | 1 | 11172 | 4 |
| {8355F009-BDCF-55C5-E053-6B04A8C0D090} | DH3 3NE | 115000 | T | N | F | 2019-01-25 00:00 | E01020595 | County Durham 013B | 24802 | 8 | 25526 | 8 | 18190 | 6 | 13955 | 5 | 12879 | 4 | 29998 | 10 |
| {8355F009-BDD0-55C5-E053-6B04A8C0D090} | DL14 9SS | 170000 | O | N | F | 2019-02-06 00:00 | E01020907 | County Durham 058C | 3254 | 1 | 2835 | 1 | 2167 | 1 | 3061 | 1 | 4436 | 2 | 2558 | 1 |
| {8355F009-BDD1-55C5-E053-6B04A8C0D090} | SR8 4EH | 32500 | T | N | F | 2019-01-28 00:00 | E01020767 | County Durham 036C | 569 | 1 | 1552 | 1 | 207 | 1 | 56 | 1 | 155 | 1 | 3016 | 1 |
| {8355F009-BDD2-55C5-E053-6B04A8C0D090} | DL13 4BD | 55000 | T | N | F | 2019-02-14 00:00 | E01020892 | County Durham 045D | 6236 | 2 | 5362 | 2 | 4016 | 2 | 6095 | 2 | 5629 | 2 | 8612 | 3 |
| {8355F009-BDD3-55C5-E053-6B04A8C0D090} | DL17 8BP | 90000 | D | N | F | 2019-01-18 00:00 | E01033203 | County Durham 053E | 5925 | 2 | 5137 | 2 | 3604 | 2 | 4378 | 2 | 7174 | 3 | 6463 | 2 |
| {8355F009-BDD4-55C5-E053-6B04A8C0D090} | SR8 3PX | 17000 | T | N | F | 2019-01-17 00:00 | E01020752 | County Durham 025B | 221 | 1 | 376 | 1 | 33 | 1 | 2 | 1 | 536 | 1 | 1330 | 1 |
| {8355F009-BDD5-55C5-E053-6B04A8C0D090} | DL15 0EW | 50000 | T | N | F | 2019-01-31 00:00 | E01020903 | County Durham 046E | 11996 | 4 | 11856 | 4 | 9801 | 3 | 8459 | 3 | 6820 | 3 | 20707 | 7 |
| {8355F009-BDD7-55C5-E053-6B04A8C0D090} | DL14 8UZ | 20000 | T | N | F | 2019-02-14 00:00 | E01020838 | County Durham 059C | 4453 | 2 | 4730 | 2 | 3656 | 2 | 1052 | 1 | 3864 | 2 | 7645 | 3 |
| {8355F009-BDD8-55C5-E053-6B04A8C0D090} | DH8 5FE | 98500 | T | N | L | 2019-02-05 00:00 | E01020644 | County Durham 014D | 10998 | 4 | 8960 | 3 | 8708 | 3 | 12584 | 4 | 6863 | 3 | 9783 | 3 |
| {8355F009-BDD9-55C5-E053-6B04A8C0D090} | DH7 0TP | 600000 | O | N | F | 2019-02-01 00:00 | E01020664 | County Durham 020B | 28226 | 9 | 27355 | 9 | 30613 | 10 | 20919 | 7 | 19557 | 6 | 30070 | 10 |
| {8355F009-BDDA-55C5-E053-6B04A8C0D090} | DH8 5FD | 98500 | T | N | L | 2019-02-05 00:00 | E01020644 | County Durham 014D | 10998 | 4 | 8960 | 3 | 8708 | 3 | 12584 | 4 | 6863 | 3 | 9783 | 3 |
| {8355F009-BDDB-55C5-E053-6B04A8C0D090} | DH9 6BA | 43000 | T | N | F | 2019-02-01 00:00 | E01020649 | County Durham 008C | 7293 | 3 | 5876 | 2 | 4128 | 2 | 11448 | 4 | 7242 | 3 | 6147 | 2 |
| {8355F009-BDDD-55C5-E053-6B04A8C0D090} | DL1 5AQ | 15000 | O | N | L | 2019-01-23 00:00 | E01012357 | Darlington 014B | 5090 | 2 | 5646 | 2 | 6549 | 2 | 2172 | 1 | 4689 | 2 | 3865 | 2 |
| {8355F009-BDDE-55C5-E053-6B04A8C0D090} | DL1 4RY | 100000 | T | N | F | 2019-01-31 00:00 | E01012318 | Darlington 013B | 2843 | 1 | 2761 | 1 | 2616 | 1 | 1670 | 1 | 3014 | 1 | 2063 | 1 |
| {8355F009-B397-55C5-E053-6B04A8C0D090} | LS6 3QF | 439750 | S | N | F | 2019-02-18 00:00 | E01011694 | Leeds 109F | 25853 | 8 | 26673 | 9 | 31020 | 10 | 11703 | 4 | 24783 | 8 | 29634 | 10 |
| {8355F009-B39A-55C5-E053-6B04A8C0D090} | HX2 0SR | 208500 | S | N | F | 2019-01-15 00:00 | E01010927 | Calderdale 009A | 16996 | 6 | 27065 | 9 | 24322 | 8 | 639 | 1 | 19461 | 6 | 20421 | 7 |
| {8355F009-B39B-55C5-E053-6B04A8C0D090} | HX1 2YJ | 198500 | T | N | F | 2019-01-09 00:00 | E01010969 | Calderdale 016A | 18647 | 6 | 19630 | 6 | 16351 | 5 | 15424 | 5 | 15152 | 5 | 24787 | 8 |
| {8355F009-B39D-55C5-E053-6B04A8C0D090} | LS28 6FA | 228000 | S | N | F | 2019-02-04 00:00 | E01011596 | Leeds 062D | 25901 | 8 | 29495 | 9 | 26309 | 9 | 13001 | 4 | 21919 | 7 | 25788 | 8 |
| {8355F009-B39F-55C5-E053-6B04A8C0D090} | LS29 7EY | 295000 | T | N | F | 2019-02-15 00:00 | E01010769 | Bradford 003C | 26788 | 9 | 25317 | 8 | 25648 | 8 | 21930 | 7 | 20276 | 7 | 28466 | 9 |
| {8355F009-B3A0-55C5-E053-6B04A8C0D090} | LS12 6BU | 116500 | F | N | L | 2019-01-02 00:00 | E01011734 | Leeds 083A | 18442 | 6 | 22720 | 7 | 24200 | 8 | 9328 | 3 | 16034 | 5 | 19159 | 6 |
| {8355F009-B3A1-55C5-E053-6B04A8C0D090} | LS15 0NJ | 199999 | D | N | F | 2019-01-29 00:00 | E01011616 | Leeds 072A | 1152 | 1 | 2008 | 1 | 967 | 1 | 1243 | 1 | 1393 | 1 | 1468 | 1 |
| {8355F009-B3A2-55C5-E053-6B04A8C0D090} | WF11 8QF | 65000 | S | N | F | 2019-01-22 00:00 | E01011804 | Wakefield 011B | 9611 | 3 | 13401 | 5 | 9617 | 3 | 6109 | 2 | 10573 | 4 | 3589 | 2 |
| {8355F009-B3A3-55C5-E053-6B04A8C0D090} | LS19 7QA | 88000 | T | N | F | 2019-01-29 00:00 | E01011276 | Leeds 011C | 19771 | 7 | 22476 | 7 | 22088 | 7 | 7815 | 3 | 16183 | 5 | 27979 | 9 |
| {8355F009-B3A4-55C5-E053-6B04A8C0D090} | BD12 0EX | 130000 | T | N | F | 2019-01-29 00:00 | E01010741 | Bradford 059A | 9746 | 3 | 15713 | 5 | 13633 | 5 | 331 | 1 | 14652 | 5 | 13410 | 5 |
| {8355F009-B3A6-55C5-E053-6B04A8C0D090} | LS25 1NJ | 105000 | F | N | L | 2019-02-21 00:00 | E01011403 | Leeds 074D | 22784 | 7 | 20898 | 7 | 21351 | 7 | 22708 | 7 | 7911 | 3 | 27069 | 9 |
| {8355F009-B3A9-55C5-E053-6B04A8C0D090} | LS10 4GA | 208000 | T | N | F | 2019-02-01 00:00 | E01011490 | Leeds 099A | 18717 | 6 | 18474 | 6 | 22994 | 8 | 4424 | 2 | 14765 | 5 | 20853 | 7 |
| {8355F009-B3AB-55C5-E053-6B04A8C0D090} | LS18 5JR | 330000 | S | N | F | 2019-02-01 00:00 | E01011455 | Leeds 021A | 30741 | 10 | 32494 | 10 | 32706 | 10 | 23614 | 8 | 26076 | 8 | 31363 | 10 |
| {8355F009-B3AC-55C5-E053-6B04A8C0D090} | BD16 2PR | 210000 | T | N | F | 2019-01-25 00:00 | E01010584 | Bradford 015D | 7752 | 3 | 9289 | 3 | 9481 | 3 | 3413 | 2 | 5868 | 2 | 8072 | 3 |
| {8355F009-B3AD-55C5-E053-6B04A8C0D090} | WF10 5GU | 200000 | D | N | L | 2019-01-18 00:00 | E01011775 | Wakefield 024A | 21047 | 7 | 20122 | 7 | 16080 | 5 | 21214 | 7 | 20231 | 7 | 20059 | 7 |
| {8355F009-B3B1-55C5-E053-6B04A8C0D090} | LS10 4SW | 35000 | F | N | L | 2019-01-18 00:00 | E01011490 | Leeds 099A | 18717 | 6 | 18474 | 6 | 22994 | 8 | 4424 | 2 | 14765 | 5 | 20853 | 7 |
| {8355F009-B3B2-55C5-E053-6B04A8C0D090} | HX1 2YH | 167500 | T | N | F | 2019-01-31 00:00 | E01010969 | Calderdale 016A | 18647 | 6 | 19630 | 6 | 16351 | 5 | 15424 | 5 | 15152 | 5 | 24787 | 8 |
| {8355F009-B3B3-55C5-E053-6B04A8C0D090} | LS6 3BY | 150000 | S | N | F | 2019-02-08 00:00 | E01011441 | Leeds 044E | 18606 | 6 | 19652 | 6 | 20884 | 7 | 14304 | 5 | 11452 | 4 | 25230 | 8 |
| {8355F009-B3B5-55C5-E053-6B04A8C0D090} | BD22 0QG | 203000 | T | N | F | 2019-01-18 00:00 | E01010722 | Bradford 014A | 2233 | 1 | 3886 | 2 | 3623 | 2 | 177 | 1 | 3809 | 2 | 2580 | 1 |
| {8355F009-B3B7-55C5-E053-6B04A8C0D090} | WF7 6FG | 124850 | T | N | F | 2019-01-28 00:00 | E01011778 | Wakefield 024D | 11184 | 4 | 12037 | 4 | 8731 | 3 | 12353 | 4 | 7945 | 3 | 5360 | 2 |
| {8355F009-B3B8-55C5-E053-6B04A8C0D090} | BD13 2FQ | 208000 | S | N | F | 2019-01-04 00:00 | E01010752 | Bradford 058A | 6179 | 2 | 10508 | 4 | 8629 | 3 | 1529 | 1 | 6432 | 2 | 14222 | 5 |
| {8355F009-B3B9-55C5-E053-6B04A8C0D090} | HD7 5RD | 127000 | T | N | L | 2019-02-08 00:00 | E01011077 | Kirklees 045A | 12793 | 4 | 17371 | 6 | 18115 | 6 | 10005 | 4 | 15742 | 5 | 16773 | 6 |
| {8355F009-B3BB-55C5-E053-6B04A8C0D090} | HX5 0DX | 175000 | T | N | F | 2019-02-08 00:00 | E01010894 | Calderdale 025D | 3768 | 2 | 4313 | 2 | 5243 | 2 | 7830 | 3 | 7794 | 3 | 3754 | 2 |
| {8355F009-B3BC-55C5-E053-6B04A8C0D090} | LS6 4AE | 107000 | F | N | L | 2019-01-14 00:00 | E01011692 | Leeds 109D | 22555 | 7 | 26422 | 9 | 26267 | 8 | 6531 | 2 | 22772 | 7 | 32673 | 10 |
| {8355F009-B3BD-55C5-E053-6B04A8C0D090} | LS10 4FP | 95000 | F | N | L | 2019-02-08 00:00 | E01011490 | Leeds 099A | 18717 | 6 | 18474 | 6 | 22994 | 8 | 4424 | 2 | 14765 | 5 | 20853 | 7 |
| {8355F009-B3BE-55C5-E053-6B04A8C0D090} | WF8 3AD | 320000 | D | N | F | 2019-01-31 00:00 | E01011849 | Wakefield 034E | 21151 | 7 | 21988 | 7 | 19979 | 7 | 11313 | 4 | 18198 | 6 | 25486 | 8 |
| {8355F009-B3BF-55C5-E053-6B04A8C0D090} | HX2 8AF | 130000 | S | N | F | 2019-01-31 00:00 | E01010939 | Calderdale 005B | 16387 | 5 | 23239 | 8 | 18862 | 6 | 1208 | 1 | 13984 | 5 | 20582 | 7 |
| {8355F009-B3C0-55C5-E053-6B04A8C0D090} | BD5 7HT | 64000 | S | N | F | 2019-01-29 00:00 | E01010736 | Bradford 048D | 2289 | 1 | 4456 | 2 | 5429 | 2 | 1774 | 1 | 7504 | 3 | 314 | 1 |
| {8355F009-B3C4-55C5-E053-6B04A8C0D090} | CR5 2YS | 715000 | O | N | F | 2019-01-11 00:00 | E01001023 | Croydon 041C | 11765 | 4 | 11262 | 4 | 9844 | 3 | 13090 | 4 | 14367 | 5 | 22719 | 7 |
| {8355F009-B3C5-55C5-E053-6B04A8C0D090} | SW1V 4NU | 1800000 | T | N | F | 2019-02-04 00:00 | E01004751 | Westminster 022C | 24060 | 8 | 22710 | 7 | 25729 | 8 | 10587 | 4 | 31316 | 10 | 30756 | 10 |
| {8355F009-B74F-55C5-E053-6B04A8C0D090} | MK16 8TH | 335000 | O | N | F | 2019-02-01 00:00 | E01016788 | Milton Keynes 003C | 27067 | 9 | 28885 | 9 | 29173 | 9 | 23939 | 8 | 28286 | 9 | 21439 | 7 |
| {8355F009-B751-55C5-E053-6B04A8C0D090} | MK13 8BS | 145000 | F | N | L | 2019-01-18 00:00 | E01016724 | Milton Keynes 013D | 12503 | 4 | 10822 | 4 | 13122 | 4 | 9358 | 3 | 11901 | 4 | 11627 | 4 |
| {8355F009-B752-55C5-E053-6B04A8C0D090} | LU6 2RP | 475000 | S | N | F | 2019-02-06 00:00 | E01017658 | Aylesbury Vale 009D | 26147 | 8 | 26237 | 8 | 30293 | 10 | 28462 | 9 | 28123 | 9 | 27678 | 9 |
| {8355F009-B753-55C5-E053-6B04A8C0D090} | MK11 1NN | 210000 | S | N | F | 2019-01-31 00:00 | E01016817 | Milton Keynes 010B | 17886 | 6 | 14425 | 5 | 15901 | 5 | 15536 | 5 | 21533 | 7 | 20248 | 7 |
| {8355F009-B754-55C5-E053-6B04A8C0D090} | HP10 8AD | 250000 | O | N | F | 2019-01-18 00:00 | E01017784 | Chiltern 013E | 31154 | 10 | 32073 | 10 | 32162 | 10 | 31069 | 10 | 32737 | 10 | 30390 | 10 |
| {8355F009-B755-55C5-E053-6B04A8C0D090} | HP14 4NN | 820000 | O | N | F | 2019-02-15 00:00 | E01017872 | Wycombe 003D | 31474 | 10 | 31784 | 10 | 32168 | 10 | 32788 | 10 | 32397 | 10 | 29760 | 10 |
| {8355F009-B758-55C5-E053-6B04A8C0D090} | MK2 3NU | 172000 | T | N | F | 2019-02-05 00:00 | E01016744 | Milton Keynes 032C | 3158 | 1 | 2827 | 1 | 5532 | 2 | 6787 | 3 | 7779 | 3 | 3468 | 2 |
| {8355F009-B759-55C5-E053-6B04A8C0D090} | MK11 3HE | 240000 | O | N | F | 2019-02-12 00:00 | E01016810 | Milton Keynes 012A | 3304 | 2 | 4139 | 2 | 2368 | 1 | 10525 | 4 | 4831 | 2 | 5284 | 2 |
| {8355F009-B75A-55C5-E053-6B04A8C0D090} | SL3 6BH | 280000 | F | N | L | 2019-02-15 00:00 | E01017834 | South Bucks 005D | 19887 | 7 | 25098 | 8 | 28772 | 9 | 4877 | 2 | 29961 | 10 | 17100 | 6 |
| {8355F009-B75C-55C5-E053-6B04A8C0D090} | MK13 0EQ | 170000 | T | N | F | 2019-02-08 00:00 | E01016835 | Milton Keynes 006D | 6027 | 2 | 6268 | 2 | 7152 | 3 | 7212 | 3 | 6210 | 2 | 4986 | 2 |
| {8355F009-B75D-55C5-E053-6B04A8C0D090} | SL0 9JQ | 13021125 | O | N | F | 2019-02-08 00:00 | E01017827 | South Bucks 008D | 18326 | 6 | 18529 | 6 | 20080 | 7 | 8841 | 3 | 26903 | 9 | 12038 | 4 |
| {8355F009-B75E-55C5-E053-6B04A8C0D090} | HP11 2TL | 725000 | D | N | F | 2019-02-11 00:00 | E01017838 | Wycombe 015C | 24120 | 8 | 18290 | 6 | 24536 | 8 | 24000 | 8 | 30357 | 10 | 19917 | 7 |
| {8355F009-B760-55C5-E053-6B04A8C0D090} | HP12 3BD | 450000 | O | N | F | 2019-02-07 00:00 | E01017904 | Wycombe 013B | 12505 | 4 | 8580 | 3 | 10926 | 4 | 17203 | 6 | 21030 | 7 | 7350 | 3 |
| {8355F009-B761-55C5-E053-6B04A8C0D090} | MK6 2PJ | 250000 | T | N | F | 2019-02-01 00:00 | E01016725 | Milton Keynes 021A | 9735 | 3 | 8015 | 3 | 11590 | 4 | 10635 | 4 | 15350 | 5 | 10714 | 4 |
| {8355F009-B762-55C5-E053-6B04A8C0D090} | MK14 7LJ | 220000 | T | N | F | 2019-01-29 00:00 | E01016768 | Milton Keynes 014D | 15798 | 5 | 14323 | 5 | 18635 | 6 | 7754 | 3 | 18484 | 6 | 16589 | 6 |
| {8355F009-B763-55C5-E053-6B04A8C0D090} | HP8 4SL | 1900000 | O | N | F | 2019-01-16 00:00 | E01017762 | Chiltern 008A | 31470 | 10 | 32827 | 10 | 32739 | 10 | 31874 | 10 | 32734 | 10 | 32533 | 10 |
| {8355F009-B764-55C5-E053-6B04A8C0D090} | HP12 3SL | 19625000 | O | N | F | 2019-01-18 00:00 | E01017840 | Wycombe 015E | 27778 | 9 | 21954 | 7 | 21758 | 7 | 29557 | 9 | 28027 | 9 | 24656 | 8 |
| {8355F009-B765-55C5-E053-6B04A8C0D090} | MK14 6HJ | 235000 | O | N | F | 2019-02-15 00:00 | E01016771 | Milton Keynes 005E | 15264 | 5 | 11494 | 4 | 13454 | 5 | 19167 | 6 | 10576 | 4 | 15045 | 5 |
| {8355F009-B766-55C5-E053-6B04A8C0D090} | HP27 9DE | 472000 | O | N | F | 2019-01-11 00:00 | E01017931 | Wycombe 001C | 23821 | 8 | 21642 | 7 | 15666 | 5 | 25371 | 8 | 26712 | 9 | 15335 | 5 |
| {8355F009-B767-55C5-E053-6B04A8C0D090} | MK4 2EH | 235500 | T | N | F | 2019-02-08 00:00 | E01016748 | Milton Keynes 028A | 24481 | 8 | 21647 | 7 | 22429 | 7 | 21890 | 7 | 19373 | 6 | 19940 | 7 |
| {8355F009-B768-55C5-E053-6B04A8C0D090} | MK14 7BH | 117500 | F | N | L | 2019-02-01 00:00 | E01016718 | Milton Keynes 014A | 5811 | 2 | 7032 | 3 | 6351 | 2 | 5290 | 2 | 8751 | 3 | 6956 | 3 |
| {8355F009-B769-55C5-E053-6B04A8C0D090} | MK10 0BT | 24945550 | O | N | F | 2019-01-10 00:00 | E01016783 | Milton Keynes 017A | 23978 | 8 | 21543 | 7 | 22150 | 7 | 20486 | 7 | 25278 | 8 | 22818 | 7 |
| {8355F009-B76A-55C5-E053-6B04A8C0D090} | MK13 8RE | 147000 | F | N | L | 2019-01-18 00:00 | E01016724 | Milton Keynes 013D | 12503 | 4 | 10822 | 4 | 13122 | 4 | 9358 | 3 | 11901 | 4 | 11627 | 4 |
| {8355F009-B76B-55C5-E053-6B04A8C0D090} | HP6 5RW | 325000 | O | N | F | 2019-01-31 00:00 | E01017778 | Chiltern 001D | 28662 | 9 | 29893 | 10 | 29786 | 10 | 25229 | 8 | 32163 | 10 | 30382 | 10 |
| {8355F009-B76D-55C5-E053-6B04A8C0D090} | MK18 1LU | 202000 | S | N | F | 2019-01-15 00:00 | E01017646 | Aylesbury Vale 002C | 20258 | 7 | 15647 | 5 | 18225 | 6 | 17094 | 6 | 21356 | 7 | 15301 | 5 |
| {8355F009-B76F-55C5-E053-6B04A8C0D090} | MK18 1WD | 250000 | T | N | F | 2019-01-17 00:00 | E01017645 | Aylesbury Vale 002B | 13183 | 5 | 12624 | 4 | 17576 | 6 | 13463 | 5 | 7478 | 3 | 12449 | 4 |
| {8355F009-B770-55C5-E053-6B04A8C0D090} | MK3 7AN | 230000 | S | N | F | 2019-02-05 00:00 | E01016738 | Milton Keynes 027B | 8416 | 3 | 6975 | 3 | 9130 | 3 | 15435 | 5 | 9415 | 3 | 5111 | 2 |
| {8355F009-B771-55C5-E053-6B04A8C0D090} | HP10 9AR | 321000 | D | N | F | 2019-01-31 00:00 | E01017865 | Wycombe 018B | 32278 | 10 | 31142 | 10 | 30885 | 10 | 32340 | 10 | 31165 | 10 | 28597 | 9 |
| {8355F009-B772-55C5-E053-6B04A8C0D090} | RG9 6SR | 2800000 | O | N | F | 2019-02-05 00:00 | E01017878 | Wycombe 007D | 18842 | 6 | 32189 | 10 | 32579 | 10 | 29225 | 9 | 32635 | 10 | 32123 | 10 |
| {8355F009-B773-55C5-E053-6B04A8C0D090} | SL7 1DQ | 700000 | S | N | F | 2019-02-01 00:00 | E01017895 | Wycombe 023A | 28329 | 9 | 20972 | 7 | 21500 | 7 | 27501 | 9 | 30387 | 10 | 30081 | 10 |
| {8355F009-B774-55C5-E053-6B04A8C0D090} | SL7 1QX | 2100000 | O | N | F | 2019-01-18 00:00 | E01017896 | Wycombe 023B | 32818 | 10 | 32504 | 10 | 32760 | 10 | 28731 | 9 | 32378 | 10 | 32711 | 10 |
| {8355F009-BA50-55C5-E053-6B04A8C0D090} | PL13 2JE | 285000 | O | N | F | 2019-02-15 00:00 | E01018762 | Cornwall 037A | 10232 | 4 | 15695 | 5 | 13709 | 5 | 26228 | 8 | 10483 | 4 | 15890 | 5 |
| {8355F009-BA66-55C5-E053-6B04A8C0D090} | TR10 9EW | 16250 | O | N | L | 2019-01-18 00:00 | E01018834 | Cornwall 060A | 17676 | 6 | 14368 | 5 | 14406 | 5 | 29457 | 9 | 17438 | 6 | 15852 | 5 |
| {8355F009-BA68-55C5-E053-6B04A8C0D090} | TR11 5PU | 535000 | O | N | F | 2019-01-18 00:00 | E01018879 | Cornwall 066A | 20297 | 7 | 23554 | 8 | 18961 | 6 | 31805 | 10 | 23102 | 8 | 29412 | 9 |
| {8355F009-BA6D-55C5-E053-6B04A8C0D090} | TR14 0FJ | 198000 | S | Y | F | 2019-01-04 00:00 | E01018865 | Cornwall 052A | 4895 | 2 | 7527 | 3 | 4010 | 2 | 8947 | 3 | 6370 | 2 | 8377 | 3 |
| {8355F009-BA6F-55C5-E053-6B04A8C0D090} | TR4 8RH | 5000 | O | N | F | 2019-01-31 00:00 | E01018829 | Cornwall 056C | 10011 | 4 | 11924 | 4 | 11393 | 4 | 29426 | 9 | 16769 | 6 | 24268 | 8 |
| {8355F009-BA71-55C5-E053-6B04A8C0D090} | TR7 2SY | 165000 | T | N | F | 2019-01-25 00:00 | E01019023 | Cornwall 021F | 21519 | 7 | 18819 | 6 | 23237 | 8 | 30699 | 10 | 21068 | 7 | 11531 | 4 |
| {8355F009-BA72-55C5-E053-6B04A8C0D090} | EX23 9RQ | 125000 | S | N | F | 2019-01-23 00:00 | E01018943 | Cornwall 002A | 12514 | 4 | 15202 | 5 | 15457 | 5 | 31268 | 10 | 24972 | 8 | 14854 | 5 |
| {8355F009-BA73-55C5-E053-6B04A8C0D090} | TR7 3EH | 700000 | O | N | F | 2019-01-22 00:00 | E01019049 | Cornwall 018B | 13536 | 5 | 11287 | 4 | 9839 | 3 | 25576 | 8 | 19132 | 6 | 10985 | 4 |
| {8355F009-BA76-55C5-E053-6B04A8C0D090} | PL27 6LU | 615000 | D | N | F | 2019-02-11 00:00 | E01033289 | Cornwall 007E | 14501 | 5 | 16889 | 6 | 17738 | 6 | 25584 | 8 | 23880 | 8 | 17823 | 6 |
| {8355F009-BA79-55C5-E053-6B04A8C0D090} | TR26 3HX | 45100 | O | N | L | 2019-01-04 00:00 | E01018987 | Cornwall 058C | 12046 | 4 | 19101 | 6 | 15747 | 5 | 29885 | 10 | 21498 | 7 | 27643 | 9 |
| {8355F009-BA7A-55C5-E053-6B04A8C0D090} | PL11 2AA | 100000 | O | N | F | 2019-01-18 00:00 | E01018797 | Cornwall 029A | 5989 | 2 | 5298 | 2 | 4216 | 2 | 15493 | 5 | 2413 | 1 | 8906 | 3 |
| {8355F009-BA7C-55C5-E053-6B04A8C0D090} | PL28 8PY | 15000 | O | N | L | 2019-01-19 00:00 | E01018954 | Cornwall 008A | 11274 | 4 | 16985 | 6 | 21128 | 7 | 30870 | 10 | 22232 | 7 | 16329 | 5 |
| {8355F009-BA7D-55C5-E053-6B04A8C0D090} | TR4 9NF | 1600000 | O | N | F | 2019-01-23 00:00 | E01018843 | Cornwall 033C | 12688 | 4 | 18783 | 6 | 15821 | 5 | 29052 | 9 | 20240 | 7 | 26825 | 9 |
| {8355F009-BA7E-55C5-E053-6B04A8C0D090} | TR4 8QG | 1020000 | O | N | F | 2019-02-04 00:00 | E01018820 | Cornwall 047D | 13320 | 5 | 13910 | 5 | 16386 | 5 | 29138 | 9 | 18329 | 6 | 21485 | 7 |
| {8355F009-BA7F-55C5-E053-6B04A8C0D090} | PL15 9DY | 25500 | O | N | F | 2019-02-11 00:00 | E01018950 | Cornwall 005E | 11253 | 4 | 10279 | 4 | 8430 | 3 | 21042 | 7 | 16834 | 6 | 14332 | 5 |
| {8355F009-BA80-55C5-E053-6B04A8C0D090} | TR2 5BG | 40000 | O | N | F | 2019-01-21 00:00 | E01018849 | Cornwall 048D | 16230 | 5 | 15840 | 5 | 20152 | 7 | 31141 | 10 | 21819 | 7 | 21522 | 7 |
| {8355F009-BA81-55C5-E053-6B04A8C0D090} | LA14 1NA | 47500 | T | N | F | 2019-02-06 00:00 | E01019158 | Barrow-in-Furness 008E | 1301 | 1 | 3964 | 2 | 1620 | 1 | 2972 | 1 | 344 | 1 | 4645 | 2 |
| {8355F009-BA83-55C5-E053-6B04A8C0D090} | CA28 6SB | 153000 | D | N | F | 2019-01-30 00:00 | E01019262 | Copeland 003B | 24449 | 8 | 28625 | 9 | 21659 | 7 | 32007 | 10 | 15225 | 5 | 24211 | 8 |
| {8355F009-BA84-55C5-E053-6B04A8C0D090} | LA9 6ND | 305000 | O | N | F | 2019-01-14 00:00 | E01019365 | South Lakeland 003C | 23276 | 8 | 27110 | 9 | 25377 | 8 | 22637 | 7 | 24031 | 8 | 22001 | 7 |
| {8355F009-BA85-55C5-E053-6B04A8C0D090} | LA13 0JY | 150000 | S | N | F | 2019-01-11 00:00 | E01019179 | Barrow-in-Furness 006E | 28119 | 9 | 27672 | 9 | 26671 | 9 | 30770 | 10 | 11371 | 4 | 26776 | 9 |
| {8355F009-BA86-55C5-E053-6B04A8C0D090} | LA12 8EE | 350000 | T | N | F | 2019-01-14 00:00 | E01019351 | South Lakeland 008D | 19141 | 6 | 27945 | 9 | 30031 | 10 | 32698 | 10 | 26226 | 8 | 24448 | 8 |
| {8355F009-BA88-55C5-E053-6B04A8C0D090} | CA13 9YD | 690000 | O | N | F | 2019-01-22 00:00 | E01019090 | Allerdale 007E | 15065 | 5 | 28772 | 9 | 31101 | 10 | 24115 | 8 | 25116 | 8 | 29648 | 10 |
| {8355F009-BA89-55C5-E053-6B04A8C0D090} | CA28 8QN | 72000 | T | N | F | 2019-01-25 00:00 | E01019285 | Copeland 003D | 6060 | 2 | 8560 | 3 | 4382 | 2 | 23102 | 8 | 1899 | 1 | 3753 | 2 |
| {8355F009-BA8A-55C5-E053-6B04A8C0D090} | LA6 2NP | 2100000 | O | N | F | 2019-01-31 00:00 | E01019373 | South Lakeland 009B | 25655 | 8 | 30586 | 10 | 27981 | 9 | 24349 | 8 | 23782 | 8 | 28080 | 9 |
| {8355F009-BA8C-55C5-E053-6B04A8C0D090} | CA11 0SJ | 5000 | O | N | F | 2019-02-05 00:00 | E01019339 | Eden 005D | 15915 | 5 | 27773 | 9 | 30590 | 10 | 29318 | 9 | 31136 | 10 | 21985 | 7 |
| {8355F009-BA8D-55C5-E053-6B04A8C0D090} | LA9 4SX | 425000 | O | N | F | 2019-01-25 00:00 | E01019360 | South Lakeland 004A | 15960 | 5 | 16223 | 5 | 13491 | 5 | 16807 | 6 | 16460 | 6 | 27278 | 9 |
| {8355F009-BA8F-55C5-E053-6B04A8C0D090} | LA14 1BN | 60000 | T | N | F | 2019-01-14 00:00 | E01019141 | Barrow-in-Furness 008A | 522 | 1 | 1091 | 1 | 526 | 1 | 18371 | 6 | 238 | 1 | 1486 | 1 |
| {8355F009-BA90-55C5-E053-6B04A8C0D090} | LA9 5HG | 1300000 | O | N | F | 2019-01-10 00:00 | E01019369 | South Lakeland 006D | 25540 | 8 | 21788 | 7 | 17071 | 6 | 32807 | 10 | 20422 | 7 | 27711 | 9 |
| {8355F009-BE62-55C5-E053-6B04A8C0D090} | DE23 4DY | 200000 | S | N | F | 2019-02-01 00:00 | E01013545 | Derby 021E | 16844 | 6 | 14353 | 5 | 9936 | 4 | 27529 | 9 | 11337 | 4 | 24681 | 8 |
| {8355F009-BE63-55C5-E053-6B04A8C0D090} | DE23 6TE | 152000 | S | N | F | 2019-02-08 00:00 | E01013485 | Derby 016C | 3040 | 1 | 2187 | 1 | 6323 | 2 | 5214 | 2 | 8596 | 3 | 605 | 1 |
| {8355F009-BE64-55C5-E053-6B04A8C0D090} | DE23 8AG | 3020000 | O | N | F | 2019-02-05 00:00 | E01013571 | Derby 023B | 3641 | 2 | 4606 | 2 | 6717 | 3 | 3138 | 1 | 3210 | 1 | 2666 | 1 |
| {8355F009-BE65-55C5-E053-6B04A8C0D090} | DE5 8RH | 300000 | T | N | F | 2019-01-18 00:00 | E01019449 | Amber Valley 011E | 26559 | 9 | 26407 | 9 | 28907 | 9 | 27343 | 9 | 27799 | 9 | 20698 | 7 |
| {8355F009-BE66-55C5-E053-6B04A8C0D090} | DE22 4GJ | 128000 | S | N | F | 2019-01-31 00:00 | E01013552 | Derby 009C | 5283 | 2 | 4969 | 2 | 3820 | 2 | 16895 | 6 | 3081 | 1 | 3379 | 2 |
| {8355F009-BE69-55C5-E053-6B04A8C0D090} | DE22 3SX | 110000 | O | N | F | 2019-01-14 00:00 | E01013456 | Derby 013C | 1646 | 1 | 2642 | 1 | 2310 | 1 | 3962 | 2 | 803 | 1 | 2090 | 1 |
| {8355F009-BE6A-55C5-E053-6B04A8C0D090} | DE7 8EF | 135000 | O | N | F | 2019-01-24 00:00 | E01019640 | Erewash 016C | 31553 | 10 | 30810 | 10 | 28014 | 9 | 31943 | 10 | 19937 | 7 | 23540 | 8 |
| {8355F009-BE6B-55C5-E053-6B04A8C0D090} | DE3 0QH | 143000 | S | N | F | 2019-01-31 00:00 | E01013556 | Derby 015A | 30611 | 10 | 30659 | 10 | 28566 | 9 | 31265 | 10 | 18350 | 6 | 27283 | 9 |
| {8355F009-BE6D-55C5-E053-6B04A8C0D090} | DE4 4NR | 300 | O | N | F | 2019-01-29 00:00 | E01019636 | Derbyshire Dales 007D | 22198 | 7 | 17123 | 6 | 17864 | 6 | 28457 | 9 | 21759 | 7 | 16497 | 6 |
| {8355F009-BE6E-55C5-E053-6B04A8C0D090} | DE24 9NE | 60000 | T | N | F | 2019-02-21 00:00 | E01013588 | Derby 029E | 4494 | 2 | 4863 | 2 | 4039 | 2 | 2353 | 1 | 4684 | 2 | 5685 | 2 |
| {8355F009-BE6F-55C5-E053-6B04A8C0D090} | DE23 1JG | 415000 | D | N | F | 2019-02-12 00:00 | E01013488 | Derby 022A | 26785 | 9 | 25287 | 8 | 26195 | 8 | 28031 | 9 | 21631 | 7 | 24741 | 8 |
| {8355F009-BE72-55C5-E053-6B04A8C0D090} | DE22 3SE | 85000 | T | N | F | 2019-01-28 00:00 | E01013460 | Derby 013E | 9920 | 4 | 12560 | 4 | 18733 | 6 | 5013 | 2 | 8676 | 3 | 12441 | 4 |
| {8355F009-BE78-55C5-E053-6B04A8C0D090} | NG10 3ND | 280000 | O | N | F | 2019-02-20 00:00 | E01019705 | Erewash 015D | 23720 | 8 | 19953 | 7 | 21939 | 7 | 26753 | 9 | 20602 | 7 | 14340 | 5 |
| {8355F009-BE7A-55C5-E053-6B04A8C0D090} | S41 7ST | 759300 | D | N | F | 2019-02-14 00:00 | E01033387 | Chesterfield 010F | 16005 | 5 | 20751 | 7 | 22127 | 7 | 5362 | 2 | 10410 | 4 | 19725 | 7 |
| {8355F009-BE7B-55C5-E053-6B04A8C0D090} | S41 0JH | 276000 | O | N | F | 2019-01-18 00:00 | E01019798 | North East Derbyshire 007A | 16654 | 6 | 12692 | 4 | 14496 | 5 | 17219 | 6 | 13230 | 5 | 16298 | 5 |
| {8355F009-BE7C-55C5-E053-6B04A8C0D090} | DE56 0DL | 245000 | D | N | F | 2019-01-11 00:00 | E01019410 | Amber Valley 011A | 24307 | 8 | 27520 | 9 | 24945 | 8 | 29963 | 10 | 18698 | 6 | 20455 | 7 |
| {8355F009-BE7E-55C5-E053-6B04A8C0D090} | S42 6AW | 855000 | O | N | F | 2019-02-01 00:00 | E01019769 | North East Derbyshire 010A | 21554 | 7 | 26294 | 9 | 26699 | 9 | 30229 | 10 | 24072 | 8 | 24883 | 8 |
| {8355F009-BE7F-55C5-E053-6B04A8C0D090} | DE7 9JJ | 185000 | S | N | F | 2019-02-05 00:00 | E01019639 | Erewash 016B | 14261 | 5 | 9388 | 3 | 12056 | 4 | 18705 | 6 | 17213 | 6 | 6662 | 3 |
| {8355F009-BE80-55C5-E053-6B04A8C0D090} | DE55 2FB | 247000 | D | N | F | 2019-01-14 00:00 | E01019513 | Bolsover 010D | 20273 | 7 | 21307 | 7 | 20148 | 7 | 27576 | 9 | 12287 | 4 | 14167 | 5 |
| {8355F009-BE81-55C5-E053-6B04A8C0D090} | DE55 2EP | 62450 | T | N | F | 2019-01-25 00:00 | E01019517 | Bolsover 010E | 26261 | 8 | 27003 | 9 | 21327 | 7 | 27114 | 9 | 19521 | 6 | 18589 | 6 |
| {8355F009-BE82-55C5-E053-6B04A8C0D090} | DE7 4JB | 50000 | F | N | L | 2019-01-09 00:00 | E01019669 | Erewash 007D | 14064 | 5 | 14912 | 5 | 11919 | 4 | 26061 | 8 | 11317 | 4 | 6518 | 2 |
| {8355F009-BE83-55C5-E053-6B04A8C0D090} | S40 2HR | 79000 | T | N | F | 2019-01-28 00:00 | E01019578 | Chesterfield 013D | 499 | 1 | 590 | 1 | 157 | 1 | 16684 | 6 | 160 | 1 | 410 | 1 |
| {8355F009-BE84-55C5-E053-6B04A8C0D090} | DE7 9JE | 130000 | S | N | F | 2019-01-18 00:00 | E01019640 | Erewash 016C | 31553 | 10 | 30810 | 10 | 28014 | 9 | 31943 | 10 | 19937 | 7 | 23540 | 8 |
| {8355F009-BE85-55C5-E053-6B04A8C0D090} | DE4 5ND | 280000 | O | N | F | 2019-01-31 00:00 | E01019627 | Derbyshire Dales 005E | 27445 | 9 | 23414 | 8 | 24854 | 8 | 32451 | 10 | 20804 | 7 | 25009 | 8 |
| {8355F009-BE88-55C5-E053-6B04A8C0D090} | DE55 2FJ | 290000 | D | N | F | 2019-01-31 00:00 | E01019513 | Bolsover 010D | 20273 | 7 | 21307 | 7 | 20148 | 7 | 27576 | 9 | 12287 | 4 | 14167 | 5 |
| {8355F009-BE89-55C5-E053-6B04A8C0D090} | SK23 7QA | 36000 | O | N | F | 2019-02-05 00:00 | E01019766 | High Peak 005E | 23260 | 8 | 18231 | 6 | 17015 | 6 | 32070 | 10 | 17955 | 6 | 24769 | 8 |
| {8355F009-BE8A-55C5-E053-6B04A8C0D090} | DE23 8LL | 110000 | T | N | F | 2019-01-31 00:00 | E01033167 | Derby 018G | 666 | 1 | 531 | 1 | 849 | 1 | 15785 | 5 | 314 | 1 | 1025 | 1 |
| {8355F009-BE8B-55C5-E053-6B04A8C0D090} | DE7 8AZ | 160000 | O | N | F | 2019-01-30 00:00 | E01019672 | Erewash 003E | 7556 | 3 | 8691 | 3 | 6890 | 3 | 8761 | 3 | 7466 | 3 | 8677 | 3 |
| {8355F009-BE8C-55C5-E053-6B04A8C0D090} | DE65 6NL | 225000 | S | N | F | 2019-01-31 00:00 | E01019840 | South Derbyshire 002A | 24635 | 8 | 20834 | 7 | 20003 | 7 | 27805 | 9 | 13865 | 5 | 23787 | 8 |
| {8355F009-BE8D-55C5-E053-6B04A8C0D090} | NG10 2AL | 115000 | T | N | F | 2019-02-19 00:00 | E01019682 | Erewash 012D | 4792 | 2 | 6111 | 2 | 5379 | 2 | 5524 | 2 | 3971 | 2 | 5163 | 2 |
| {8355F009-BE8E-55C5-E053-6B04A8C0D090} | DE11 7NN | 113500 | O | N | F | 2019-01-28 00:00 | E01019859 | South Derbyshire 007E | 22175 | 7 | 19739 | 7 | 18994 | 6 | 31164 | 10 | 19580 | 6 | 12075 | 4 |
| {8355F009-BE91-55C5-E053-6B04A8C0D090} | DE4 2LY | 625000 | O | N | F | 2019-01-11 00:00 | E01019630 | Derbyshire Dales 004C | 23247 | 8 | 21759 | 7 | 24082 | 8 | 32133 | 10 | 27396 | 9 | 22545 | 7 |
| {8355F009-B3C7-55C5-E053-6B04A8C0D090} | W11 1EA | 495000 | F | N | F | 2019-02-11 00:00 | E01002829 | Kensington and Chelsea 004A | 6055 | 2 | 5953 | 2 | 5290 | 2 | 5417 | 2 | 15925 | 5 | 26510 | 9 |
| {8355F009-B3C8-55C5-E053-6B04A8C0D090} | SW17 7HS | 60000 | O | N | F | 2019-01-25 00:00 | E01004547 | Wandsworth 029C | 14054 | 5 | 11970 | 4 | 9731 | 3 | 13408 | 5 | 17573 | 6 | 26413 | 9 |
| {8355F009-B3C9-55C5-E053-6B04A8C0D090} | SE18 3PA | 395000 | T | N | F | 2019-02-01 00:00 | E01001681 | Greenwich 020C | 15871 | 5 | 14617 | 5 | 12837 | 4 | 7796 | 3 | 18238 | 6 | 25212 | 8 |
| {8355F009-B3CA-55C5-E053-6B04A8C0D090} | EC1M 4HF | 14250000 | O | N | F | 2019-01-17 00:00 | E01033490 | Islington 022H | 14740 | 5 | 17753 | 6 | 25893 | 8 | 22894 | 7 | 20295 | 7 | 22056 | 7 |
| {8355F009-B3CB-55C5-E053-6B04A8C0D090} | SE27 0BT | 800000 | S | N | F | 2019-01-02 00:00 | E01003080 | Lambeth 027B | 15676 | 5 | 15404 | 5 | 17616 | 6 | 10982 | 4 | 22367 | 7 | 27806 | 9 |
| {8355F009-B3CC-55C5-E053-6B04A8C0D090} | W6 7BJ | 4850000 | O | N | F | 2019-01-30 00:00 | E01001869 | Hammersmith and Fulham 010D | 19649 | 6 | 21171 | 7 | 24758 | 8 | 11543 | 4 | 19135 | 6 | 31077 | 10 |
| {8355F009-B3CD-55C5-E053-6B04A8C0D090} | N16 5JA | 1160000 | F | N | F | 2019-01-31 00:00 | E01001807 | Hackney 003D | 8454 | 3 | 7503 | 3 | 11046 | 4 | 13951 | 5 | 17169 | 6 | 17732 | 6 |
| {8355F009-B3CE-55C5-E053-6B04A8C0D090} | E5 9JW | 850000 | T | N | F | 2019-02-19 00:00 | E01001792 | Hackney 011A | 6784 | 3 | 7382 | 3 | 11517 | 4 | 2053 | 1 | 9890 | 4 | 21014 | 7 |
| {8355F009-B3CF-55C5-E053-6B04A8C0D090} | NW1 9RZ | 16000 | O | N | F | 2019-01-10 00:00 | E01000865 | Camden 015B | 20799 | 7 | 23464 | 8 | 26045 | 8 | 10136 | 4 | 19996 | 7 | 30190 | 10 |
| {8355F009-B3D0-55C5-E053-6B04A8C0D090} | SW8 3BS | 47300 | O | N | F | 2019-01-31 00:00 | E01003037 | Lambeth 013A | 4779 | 2 | 4842 | 2 | 5369 | 2 | 6026 | 2 | 1674 | 1 | 21711 | 7 |
| {8355F009-B3D1-55C5-E053-6B04A8C0D090} | SW17 7RH | 722500 | O | N | F | 2019-02-14 00:00 | E01004548 | Wandsworth 029D | 16560 | 6 | 15021 | 5 | 20576 | 7 | 14336 | 5 | 16228 | 5 | 26594 | 9 |
| {8355F009-B3D2-55C5-E053-6B04A8C0D090} | SW17 9RZ | 425000 | T | N | F | 2019-02-01 00:00 | E01004526 | Wandsworth 035B | 12185 | 4 | 10506 | 4 | 16773 | 6 | 4292 | 2 | 14572 | 5 | 25118 | 8 |
| {8355F009-B3D3-55C5-E053-6B04A8C0D090} | SE6 2AA | 670000 | D | N | F | 2019-01-25 00:00 | E01003325 | Lewisham 018D | 5420 | 2 | 7071 | 3 | 9575 | 3 | 5199 | 2 | 9366 | 3 | 14492 | 5 |
| {8355F009-B3D4-55C5-E053-6B04A8C0D090} | SW1Y 5JG | 81650 | O | N | F | 2019-01-31 00:00 | E01004736 | Westminster 018C | 24862 | 8 | 32833 | 10 | 32702 | 10 | 16515 | 6 | 32709 | 10 | 28230 | 9 |
| {8355F009-B3D5-55C5-E053-6B04A8C0D090} | SE24 9DH | 10000 | O | N | F | 2019-01-25 00:00 | E01003170 | Lambeth 025E | 21658 | 7 | 21062 | 7 | 26971 | 9 | 7187 | 3 | 23701 | 8 | 32259 | 10 |
| {8355F009-B3D6-55C5-E053-6B04A8C0D090} | N7 6QA | 880000 | O | N | F | 2019-01-03 00:00 | E01002731 | Islington 007B | 11066 | 4 | 13149 | 5 | 19620 | 6 | 2432 | 1 | 18071 | 6 | 21595 | 7 |
| {8355F009-B3D7-55C5-E053-6B04A8C0D090} | SE6 3JH | 450000 | S | N | F | 2019-01-30 00:00 | E01003318 | Lewisham 020B | 2640 | 1 | 5204 | 2 | 3041 | 1 | 2034 | 1 | 6051 | 2 | 17392 | 6 |
| {8355F009-B3D8-55C5-E053-6B04A8C0D090} | SW18 2DB | 700000 | T | N | F | 2019-01-14 00:00 | E01004512 | Wandsworth 019B | 21622 | 7 | 21567 | 7 | 20867 | 7 | 12722 | 4 | 24404 | 8 | 28723 | 9 |
| {8355F009-B3D9-55C5-E053-6B04A8C0D090} | SE26 5HB | 250000 | O | N | F | 2019-02-18 00:00 | E01003327 | Lewisham 035B | 17542 | 6 | 18963 | 6 | 19867 | 7 | 13215 | 5 | 22380 | 7 | 24599 | 8 |
| {8355F009-B3DD-55C5-E053-6B04A8C0D090} | SW17 0EA | 480000 | S | N | F | 2019-02-06 00:00 | E01004610 | Wandsworth 033C | 14415 | 5 | 16033 | 5 | 20527 | 7 | 2074 | 1 | 23157 | 8 | 27178 | 9 |
| {8355F009-B3DE-55C5-E053-6B04A8C0D090} | W6 8QX | 2500000 | O | N | F | 2019-01-31 00:00 | E01001891 | Hammersmith and Fulham 018B | 22811 | 7 | 29294 | 9 | 31391 | 10 | 17189 | 6 | 23251 | 8 | 15532 | 5 |
| {8355F009-B3DF-55C5-E053-6B04A8C0D090} | NW3 2PN | 1000000 | O | N | F | 2019-02-05 00:00 | E01000897 | Camden 008D | 30122 | 10 | 30822 | 10 | 30989 | 10 | 13725 | 5 | 32674 | 10 | 31154 | 10 |
| {8355F009-B3E1-55C5-E053-6B04A8C0D090} | N5 2AA | 900000 | O | N | F | 2019-02-06 00:00 | E01002744 | Islington 009D | 16228 | 5 | 14540 | 5 | 14547 | 5 | 13672 | 5 | 13266 | 5 | 25176 | 8 |
| {8355F009-B3E2-55C5-E053-6B04A8C0D090} | W12 8AB | 815000 | T | N | F | 2019-01-14 00:00 | E01001943 | Hammersmith and Fulham 004A | 6650 | 3 | 9442 | 3 | 9741 | 3 | 1401 | 1 | 10684 | 4 | 26495 | 9 |
| {8355F009-B3E3-55C5-E053-6B04A8C0D090} | SE5 8DL | 680000 | O | N | F | 2019-01-09 00:00 | E01004045 | Southwark 027A | 9397 | 3 | 5685 | 2 | 7497 | 3 | 24340 | 8 | 14852 | 5 | 18230 | 6 |
| {8355F009-B3E5-55C5-E053-6B04A8C0D090} | SW2 1AJ | 14000 | O | N | F | 2019-01-25 00:00 | E01003050 | Lambeth 016B | 9105 | 3 | 13413 | 5 | 19767 | 7 | 601 | 1 | 15213 | 5 | 19237 | 6 |
| {8355F009-B3E6-55C5-E053-6B04A8C0D090} | NW10 6AJ | 21800 | O | N | F | 2019-01-25 00:00 | E01001877 | Hammersmith and Fulham 001D | 6532 | 2 | 6516 | 2 | 6699 | 3 | 6019 | 2 | 9633 | 3 | 22569 | 7 |
| {8355F009-B3E8-55C5-E053-6B04A8C0D090} | SW15 6SQ | 595000 | O | N | F | 2019-02-08 00:00 | E01004506 | Wandsworth 011A | 25152 | 8 | 25163 | 8 | 30303 | 10 | 18135 | 6 | 28600 | 9 | 25710 | 8 |
| {8355F009-B3E9-55C5-E053-6B04A8C0D090} | NW8 9SD | 52500 | O | N | F | 2019-01-21 00:00 | E01004726 | Westminster 003C | 25261 | 8 | 26899 | 9 | 29640 | 10 | 20009 | 7 | 32628 | 10 | 28805 | 9 |
| {8355F009-B3EA-55C5-E053-6B04A8C0D090} | N6 5NY | 290000 | F | N | L | 2019-01-11 00:00 | E01002006 | Haringey 035B | 18324 | 6 | 19006 | 6 | 21368 | 7 | 15019 | 5 | 23437 | 8 | 31199 | 10 |
| {8355F009-B3EB-55C5-E053-6B04A8C0D090} | N22 6QS | 3750 | O | N | F | 2019-02-01 00:00 | E01002088 | Haringey 013C | 11266 | 4 | 14260 | 5 | 21387 | 7 | 4388 | 2 | 21957 | 7 | 8984 | 3 |
| {8355F009-B3EF-55C5-E053-6B04A8C0D090} | TW5 9JW | 260000 | T | N | F | 2019-01-25 00:00 | E01002634 | Hounslow 005B | 6742 | 3 | 5499 | 2 | 6546 | 2 | 7905 | 3 | 17761 | 6 | 9703 | 3 |
| {8355F009-B776-55C5-E053-6B04A8C0D090} | MK14 6TD | 305118 | D | N | F | 2019-02-08 00:00 | E01016804 | Milton Keynes 009D | 9002 | 3 | 7015 | 3 | 9308 | 3 | 20859 | 7 | 9873 | 4 | 7474 | 3 |
| {8355F009-B779-55C5-E053-6B04A8C0D090} | MK17 0HX | 1845000 | O | N | F | 2019-01-31 00:00 | E01017696 | Aylesbury Vale 003D | 32384 | 10 | 29793 | 10 | 30177 | 10 | 30205 | 10 | 31719 | 10 | 25604 | 8 |
| {8355F009-B77A-55C5-E053-6B04A8C0D090} | HP11 2HL | 1080000 | O | N | F | 2019-01-11 00:00 | E01017837 | Wycombe 015B | 12204 | 4 | 11192 | 4 | 14573 | 5 | 5068 | 2 | 17040 | 6 | 16809 | 6 |
| {8355F009-B77B-55C5-E053-6B04A8C0D090} | MK16 9HN | 1005000 | O | N | F | 2019-01-25 00:00 | E01016803 | Milton Keynes 002F | 14553 | 5 | 22468 | 7 | 28854 | 9 | 17418 | 6 | 25018 | 8 | 20417 | 7 |
| {8355F009-B77C-55C5-E053-6B04A8C0D090} | HP21 7SD | 240000 | T | N | F | 2019-02-08 00:00 | E01017634 | Aylesbury Vale 015B | 18084 | 6 | 18161 | 6 | 25534 | 8 | 3768 | 2 | 27255 | 9 | 15249 | 5 |
| {8355F009-B77D-55C5-E053-6B04A8C0D090} | SL7 2BP | 625000 | O | N | F | 2019-02-08 00:00 | E01017894 | Wycombe 022F | 32682 | 10 | 32280 | 10 | 31043 | 10 | 24601 | 8 | 31971 | 10 | 32376 | 10 |
| {8355F009-B77E-55C5-E053-6B04A8C0D090} | HP11 2RS | 475000 | O | N | F | 2019-01-31 00:00 | E01017837 | Wycombe 015B | 12204 | 4 | 11192 | 4 | 14573 | 5 | 5068 | 2 | 17040 | 6 | 16809 | 6 |
| {8355F009-B77F-55C5-E053-6B04A8C0D090} | MK10 9GQ | 248400 | T | N | F | 2019-01-21 00:00 | E01016783 | Milton Keynes 017A | 23978 | 8 | 21543 | 7 | 22150 | 7 | 20486 | 7 | 25278 | 8 | 22818 | 7 |
| {8355F009-B780-55C5-E053-6B04A8C0D090} | HP20 2LH | 365000 | O | N | F | 2019-02-08 00:00 | E01032961 | Aylesbury Vale 015F | 15712 | 5 | 15723 | 5 | 19670 | 6 | 5566 | 2 | 19898 | 7 | 11415 | 4 |
| {8355F009-B781-55C5-E053-6B04A8C0D090} | HP5 3RB | 4075000 | O | N | F | 2019-01-11 00:00 | E01017750 | Chiltern 001A | 23928 | 8 | 29980 | 10 | 28971 | 9 | 25103 | 8 | 32723 | 10 | 30062 | 10 |
| {8355F009-B783-55C5-E053-6B04A8C0D090} | MK3 6LL | 160000 | T | N | F | 2019-02-06 00:00 | E01016741 | Milton Keynes 027E | 7093 | 3 | 6683 | 3 | 8075 | 3 | 9931 | 4 | 11401 | 4 | 2556 | 1 |
| {8355F009-B784-55C5-E053-6B04A8C0D090} | MK2 3NU | 190000 | T | N | F | 2019-02-05 00:00 | E01016744 | Milton Keynes 032C | 3158 | 1 | 2827 | 1 | 5532 | 2 | 6787 | 3 | 7779 | 3 | 3468 | 2 |
| {8355F009-B785-55C5-E053-6B04A8C0D090} | HP21 7SE | 639000 | D | N | F | 2019-01-25 00:00 | E01017634 | Aylesbury Vale 015B | 18084 | 6 | 18161 | 6 | 25534 | 8 | 3768 | 2 | 27255 | 9 | 15249 | 5 |
| {8355F009-B786-55C5-E053-6B04A8C0D090} | MK11 2BA | 165000 | T | N | F | 2019-01-31 00:00 | E01016811 | Milton Keynes 012B | 2496 | 1 | 2807 | 1 | 4155 | 2 | 8531 | 3 | 12371 | 4 | 873 | 1 |
| {8355F009-B787-55C5-E053-6B04A8C0D090} | MK6 4HR | 143000 | T | N | F | 2019-02-12 00:00 | E01016842 | Milton Keynes 023B | 1211 | 1 | 1514 | 1 | 1773 | 1 | 2633 | 1 | 3694 | 2 | 817 | 1 |
| {8355F009-B788-55C5-E053-6B04A8C0D090} | HP15 6AX | 45000 | O | N | F | 2019-01-31 00:00 | E01032609 | Chiltern 013F | 27637 | 9 | 20492 | 7 | 22802 | 7 | 29594 | 10 | 25559 | 8 | 20967 | 7 |
| {8355F009-B789-55C5-E053-6B04A8C0D090} | HP11 2PU | 630000 | O | N | F | 2019-02-08 00:00 | E01017837 | Wycombe 015B | 12204 | 4 | 11192 | 4 | 14573 | 5 | 5068 | 2 | 17040 | 6 | 16809 | 6 |
| {8355F009-B78B-55C5-E053-6B04A8C0D090} | MK6 4HX | 153000 | T | N | F | 2019-02-08 00:00 | E01016845 | Milton Keynes 018C | 1595 | 1 | 1676 | 1 | 2188 | 1 | 5203 | 2 | 2580 | 1 | 942 | 1 |
| {8355F009-B78D-55C5-E053-6B04A8C0D090} | MK3 6AR | 261000 | S | N | F | 2019-01-30 00:00 | E01016834 | Milton Keynes 029E | 8425 | 3 | 7171 | 3 | 9315 | 3 | 21178 | 7 | 9302 | 3 | 3268 | 1 |
| {8355F009-B792-55C5-E053-6B04A8C0D090} | SL1 8ET | 1200000 | O | N | F | 2019-01-31 00:00 | E01017803 | South Bucks 006A | 22264 | 7 | 29489 | 9 | 29500 | 9 | 7512 | 3 | 31563 | 10 | 28880 | 9 |
| {8355F009-B793-55C5-E053-6B04A8C0D090} | MK6 3AD | 488500 | O | N | F | 2019-02-07 00:00 | E01033498 | Milton Keynes 023F | 5584 | 2 | 8167 | 3 | 5800 | 2 | 2390 | 1 | 8847 | 3 | 12743 | 4 |
| {8355F009-B796-55C5-E053-6B04A8C0D090} | MK17 0FD | 3000 | O | N | F | 2019-02-05 00:00 | E01017672 | Aylesbury Vale 003B | 27254 | 9 | 26206 | 8 | 29939 | 10 | 31097 | 10 | 26277 | 9 | 28673 | 9 |
| {8355F009-B797-55C5-E053-6B04A8C0D090} | HP13 6LJ | 69960 | O | N | L | 2019-02-01 00:00 | E01017839 | Wycombe 015D | 18218 | 6 | 19385 | 6 | 15143 | 5 | 9975 | 4 | 26406 | 9 | 20508 | 7 |
| {8355F009-B798-55C5-E053-6B04A8C0D090} | MK1 1HW | 655000 | O | N | F | 2019-01-29 00:00 | E01016716 | Milton Keynes 030C | 11200 | 4 | 9051 | 3 | 9397 | 3 | 14046 | 5 | 11998 | 4 | 10641 | 4 |
| {8355F009-B799-55C5-E053-6B04A8C0D090} | SL7 2DH | 1663500 | O | N | F | 2019-01-18 00:00 | E01017892 | Wycombe 022D | 32689 | 10 | 32796 | 10 | 32484 | 10 | 31582 | 10 | 32491 | 10 | 32770 | 10 |
| {8355F009-B79C-55C5-E053-6B04A8C0D090} | MK3 7NE | 130000 | F | N | L | 2019-02-01 00:00 | E01016741 | Milton Keynes 027E | 7093 | 3 | 6683 | 3 | 8075 | 3 | 9931 | 4 | 11401 | 4 | 2556 | 1 |
| {8355F009-B79D-55C5-E053-6B04A8C0D090} | MK12 5GH | 285000 | S | N | F | 2019-01-11 00:00 | E01016840 | Milton Keynes 010D | 23265 | 8 | 20684 | 7 | 25901 | 8 | 12916 | 4 | 29120 | 9 | 17867 | 6 |
| {8355F009-B79E-55C5-E053-6B04A8C0D090} | MK9 3FY | 194119 | O | N | L | 2019-01-23 00:00 | E01016768 | Milton Keynes 014D | 15798 | 5 | 14323 | 5 | 18635 | 6 | 7754 | 3 | 18484 | 6 | 16589 | 6 |
| {8355F009-B7A1-55C5-E053-6B04A8C0D090} | MK8 1AB | 266250 | T | N | F | 2019-02-06 00:00 | E01033525 | Milton Keynes 019H | 17851 | 6 | 14457 | 5 | 17469 | 6 | 18176 | 6 | 18890 | 6 | 19235 | 6 |
| {8355F009-BA91-55C5-E053-6B04A8C0D090} | CA22 2EU | 82000 | T | N | F | 2019-02-07 00:00 | E01019272 | Copeland 006B | 7265 | 3 | 6731 | 3 | 4707 | 2 | 28212 | 9 | 4679 | 2 | 3165 | 1 |
| {8355F009-BA93-55C5-E053-6B04A8C0D090} | CA14 1QU | 175000 | D | N | F | 2019-02-08 00:00 | E01019124 | Allerdale 008E | 30357 | 10 | 30826 | 10 | 25262 | 8 | 32452 | 10 | 21918 | 7 | 22182 | 7 |
| {8355F009-BA94-55C5-E053-6B04A8C0D090} | CA1 3TR | 127500 | S | N | L | 2019-02-11 00:00 | E01019251 | Carlisle 004F | 32375 | 10 | 28534 | 9 | 29870 | 10 | 31960 | 10 | 27583 | 9 | 29763 | 10 |
| {8355F009-BA95-55C5-E053-6B04A8C0D090} | LA14 2AA | 69000 | T | N | F | 2019-02-08 00:00 | E01019142 | Barrow-in-Furness 008B | 695 | 1 | 1879 | 1 | 1748 | 1 | 1479 | 1 | 353 | 1 | 2263 | 1 |
| {8355F009-BA96-55C5-E053-6B04A8C0D090} | LA22 0NH | 285000 | F | N | L | 2019-01-31 00:00 | E01019356 | South Lakeland 007A | 17453 | 6 | 26652 | 9 | 23167 | 8 | 31231 | 10 | 27665 | 9 | 24822 | 8 |
| {8355F009-BA97-55C5-E053-6B04A8C0D090} | LA10 5RQ | 525000 | O | N | F | 2019-02-07 00:00 | E01019384 | South Lakeland 009C | 18416 | 6 | 28652 | 9 | 27965 | 9 | 31682 | 10 | 30002 | 10 | 20761 | 7 |
| {8355F009-BA98-55C5-E053-6B04A8C0D090} | CA4 0JT | 495000 | O | N | F | 2019-01-31 00:00 | E01019315 | Eden 002A | 17191 | 6 | 23584 | 8 | 25383 | 8 | 32828 | 10 | 23922 | 8 | 19970 | 7 |
| {8355F009-BA99-55C5-E053-6B04A8C0D090} | LA9 6LZ | 450000 | O | N | F | 2019-01-31 00:00 | E01019365 | South Lakeland 003C | 23276 | 8 | 27110 | 9 | 25377 | 8 | 22637 | 7 | 24031 | 8 | 22001 | 7 |
| {8355F009-BA9B-55C5-E053-6B04A8C0D090} | CA13 0AX | 203199 | S | N | F | 2019-02-07 00:00 | E01019087 | Allerdale 007D | 31497 | 10 | 31205 | 10 | 28586 | 9 | 32735 | 10 | 25301 | 8 | 29620 | 10 |
| {8355F009-BA9C-55C5-E053-6B04A8C0D090} | LA9 4NF | 955000 | O | N | F | 2019-02-06 00:00 | E01019370 | South Lakeland 003D | 23740 | 8 | 24565 | 8 | 20310 | 7 | 25111 | 8 | 24300 | 8 | 23544 | 8 |
| {8355F009-BA9E-55C5-E053-6B04A8C0D090} | CA25 5ND | 50000 | T | N | F | 2019-01-25 00:00 | E01019267 | Copeland 004F | 3311 | 2 | 3980 | 2 | 1410 | 1 | 19475 | 6 | 1680 | 1 | 2437 | 1 |
| {8355F009-BAA0-55C5-E053-6B04A8C0D090} | CA14 5XJ | 240000 | O | N | F | 2019-01-25 00:00 | E01019268 | Copeland 001A | 13037 | 4 | 19334 | 6 | 15331 | 5 | 28164 | 9 | 8398 | 3 | 16764 | 6 |
| {8355F009-BAA1-55C5-E053-6B04A8C0D090} | LA6 2NP | 2100000 | O | N | F | 2019-01-31 00:00 | E01019373 | South Lakeland 009B | 25655 | 8 | 30586 | 10 | 27981 | 9 | 24349 | 8 | 23782 | 8 | 28080 | 9 |
| {8355F009-BAA2-55C5-E053-6B04A8C0D090} | CA16 6EP | 625000 | O | N | F | 2019-01-22 00:00 | E01019340 | Eden 007E | 12037 | 4 | 22561 | 7 | 16739 | 6 | 27457 | 9 | 23546 | 8 | 15324 | 5 |
| {8355F009-BAA3-55C5-E053-6B04A8C0D090} | CA15 7RB | 500000 | O | N | F | 2019-01-25 00:00 | E01019096 | Allerdale 004C | 19053 | 6 | 15736 | 5 | 11028 | 4 | 25405 | 8 | 18132 | 6 | 13316 | 5 |
| {8355F009-BAA4-55C5-E053-6B04A8C0D090} | LA22 9DG | 252500 | O | N | F | 2019-01-25 00:00 | E01019374 | South Lakeland 001A | 23496 | 8 | 22023 | 7 | 23977 | 8 | 25116 | 8 | 21275 | 7 | 14825 | 5 |
| {8355F009-BAA5-55C5-E053-6B04A8C0D090} | CA3 8HP | 1165000 | O | N | F | 2019-01-10 00:00 | E01019206 | Carlisle 006B | 6285 | 2 | 7136 | 3 | 4480 | 2 | 6034 | 2 | 4084 | 2 | 20834 | 7 |
| {8355F009-BAA7-55C5-E053-6B04A8C0D090} | CA6 6DS | 50000 | O | N | F | 2019-02-07 00:00 | E01019229 | Carlisle 001D | 10872 | 4 | 19528 | 6 | 18832 | 6 | 32488 | 10 | 20748 | 7 | 14990 | 5 |
| {8355F009-BAA8-55C5-E053-6B04A8C0D090} | LA12 8RB | 50000 | O | N | L | 2019-02-05 00:00 | E01019386 | South Lakeland 007C | 16067 | 5 | 27608 | 9 | 26021 | 8 | 31544 | 10 | 27991 | 9 | 22692 | 7 |
| {8355F009-BAAA-55C5-E053-6B04A8C0D090} | LA22 9AD | 37500 | O | N | L | 2019-01-28 00:00 | E01019374 | South Lakeland 001A | 23496 | 8 | 22023 | 7 | 23977 | 8 | 25116 | 8 | 21275 | 7 | 14825 | 5 |
| {8355F009-BAAB-55C5-E053-6B04A8C0D090} | CA11 7SF | 220000 | O | N | F | 2019-02-08 00:00 | E01019329 | Eden 004D | 23126 | 8 | 28451 | 9 | 25940 | 8 | 28109 | 9 | 22575 | 7 | 25792 | 8 |
| {8355F009-BAAE-55C5-E053-6B04A8C0D090} | LA23 1BA | 418000 | T | N | F | 2019-02-05 00:00 | E01019395 | South Lakeland 001D | 21344 | 7 | 21526 | 7 | 21150 | 7 | 28954 | 9 | 22495 | 7 | 16056 | 5 |
| {8355F009-BAAF-55C5-E053-6B04A8C0D090} | LA11 7HH | 67000 | F | N | L | 2019-01-31 00:00 | E01019354 | South Lakeland 013C | 19441 | 6 | 17222 | 6 | 14574 | 5 | 28548 | 9 | 14964 | 5 | 22758 | 7 |
| {8355F009-BAB0-55C5-E053-6B04A8C0D090} | LA8 9HN | 300000 | O | N | L | 2019-02-08 00:00 | E01019346 | South Lakeland 003A | 18879 | 6 | 22397 | 7 | 24582 | 8 | 32496 | 10 | 22982 | 7 | 17577 | 6 |
| {8355F009-BAB1-55C5-E053-6B04A8C0D090} | CA11 9TG | 160000 | O | N | F | 2019-02-07 00:00 | E01019338 | Eden 002D | 14896 | 5 | 26423 | 9 | 30270 | 10 | 32741 | 10 | 27600 | 9 | 20724 | 7 |
| {8355F009-BAB2-55C5-E053-6B04A8C0D090} | CA15 8DL | 20000 | O | N | F | 2019-02-15 00:00 | E01019098 | Allerdale 005C | 12458 | 4 | 12480 | 4 | 10885 | 4 | 20888 | 7 | 10697 | 4 | 5919 | 2 |
| {8355F009-BAC8-55C5-E053-6B04A8C0D090} | LA10 5AD | 130000 | T | N | F | 2019-02-01 00:00 | E01019385 | South Lakeland 009D | 19049 | 6 | 17027 | 6 | 15935 | 5 | 30100 | 10 | 17670 | 6 | 20241 | 7 |
| {8355F009-BACA-55C5-E053-6B04A8C0D090} | LA6 2NP | 2100000 | O | N | F | 2019-01-31 00:00 | E01019373 | South Lakeland 009B | 25655 | 8 | 30586 | 10 | 27981 | 9 | 24349 | 8 | 23782 | 8 | 28080 | 9 |
| {8355F009-BAD5-55C5-E053-6B04A8C0D090} | CA24 3LT | 110000 | O | N | F | 2019-01-02 00:00 | E01019273 | Copeland 006C | 18868 | 6 | 22090 | 7 | 19232 | 6 | 31405 | 10 | 10789 | 4 | 18340 | 6 |
| {8355F009-BAD8-55C5-E053-6B04A8C0D090} | CA8 2DZ | 1300000 | O | N | F | 2019-01-11 00:00 | E01019225 | Carlisle 002D | 14837 | 5 | 22505 | 7 | 21847 | 7 | 31513 | 10 | 23682 | 8 | 23462 | 8 |
| {8355F009-BAD9-55C5-E053-6B04A8C0D090} | LA23 2AB | 389999 | O | N | F | 2019-01-31 00:00 | E01019398 | South Lakeland 002D | 19854 | 7 | 21251 | 7 | 21358 | 7 | 24101 | 8 | 22929 | 7 | 7708 | 3 |
| {8355F009-BADA-55C5-E053-6B04A8C0D090} | CA11 8BQ | 224950 | O | N | F | 2019-02-01 00:00 | E01019331 | Eden 004F | 22999 | 8 | 19730 | 7 | 22040 | 7 | 30757 | 10 | 24113 | 8 | 9728 | 3 |
| {8355F009-BADC-55C5-E053-6B04A8C0D090} | CA28 7UX | 130000 | O | N | F | 2019-01-29 00:00 | E01019280 | Copeland 002B | 943 | 1 | 1890 | 1 | 117 | 1 | 1547 | 1 | 88 | 1 | 7129 | 3 |
| {8355F009-BADD-55C5-E053-6B04A8C0D090} | CA4 8BD | 340000 | S | N | F | 2019-01-31 00:00 | E01019251 | Carlisle 004F | 32375 | 10 | 28534 | 9 | 29870 | 10 | 31960 | 10 | 27583 | 9 | 29763 | 10 |
| {8355F009-BADE-55C5-E053-6B04A8C0D090} | CA25 5QH | 85000 | S | N | F | 2019-01-14 00:00 | E01019265 | Copeland 004D | 5872 | 2 | 8381 | 3 | 3153 | 1 | 14022 | 5 | 1727 | 1 | 7349 | 3 |
| {8355F009-BDDF-55C5-E053-6B04A8C0D090} | SR4 6NW | 55000 | T | N | F | 2019-01-28 00:00 | E01008757 | Sunderland 015A | 5051 | 2 | 4454 | 2 | 3829 | 2 | 2127 | 1 | 2676 | 1 | 11172 | 4 |
| {8355F009-BDE0-55C5-E053-6B04A8C0D090} | DH9 8NQ | 68000 | T | N | F | 2019-01-28 00:00 | E01020625 | County Durham 009B | 10306 | 4 | 8301 | 3 | 5611 | 2 | 15794 | 5 | 8025 | 3 | 10203 | 4 |
| {8355F009-BDE1-55C5-E053-6B04A8C0D090} | DH9 8NQ | 90000 | D | N | F | 2019-01-28 00:00 | E01020625 | County Durham 009B | 10306 | 4 | 8301 | 3 | 5611 | 2 | 15794 | 5 | 8025 | 3 | 10203 | 4 |
| {8355F009-BDE2-55C5-E053-6B04A8C0D090} | SR7 0HL | 50000 | F | N | L | 2019-01-18 00:00 | E01020787 | County Durham 016E | 8076 | 3 | 5781 | 2 | 3965 | 2 | 13595 | 5 | 7221 | 3 | 8797 | 3 |
| {8355F009-BDE3-55C5-E053-6B04A8C0D090} | DL3 9ER | 77500 | O | N | F | 2019-02-15 00:00 | E01012365 | Darlington 007D | 20993 | 7 | 22181 | 7 | 16888 | 6 | 4191 | 2 | 16202 | 5 | 24326 | 8 |
| {8355F009-BDE5-55C5-E053-6B04A8C0D090} | DH7 7EF | 95000 | T | N | F | 2019-01-25 00:00 | E01020714 | County Durham 026D | 19376 | 6 | 20013 | 7 | 15002 | 5 | 10410 | 4 | 12757 | 4 | 24963 | 8 |
| {8355F009-BDE6-55C5-E053-6B04A8C0D090} | DL14 9AQ | 90000 | S | N | F | 2019-02-08 00:00 | E01020895 | County Durham 057C | 4345 | 2 | 3946 | 2 | 2932 | 1 | 7004 | 3 | 2727 | 1 | 3384 | 2 |
| {8355F009-BDE7-55C5-E053-6B04A8C0D090} | DL12 0QE | 345000 | O | N | F | 2019-02-01 00:00 | E01020865 | County Durham 065C | 13603 | 5 | 20030 | 7 | 18880 | 6 | 22455 | 7 | 13129 | 4 | 18308 | 6 |
| {8355F009-BDE8-55C5-E053-6B04A8C0D090} | DL1 4DF | 230000 | O | N | F | 2019-02-15 00:00 | E01012340 | Darlington 012D | 8316 | 3 | 8137 | 3 | 9312 | 3 | 1607 | 1 | 7459 | 3 | 6367 | 2 |
| {8355F009-BDEB-55C5-E053-6B04A8C0D090} | DL16 7QF | 135000 | S | N | F | 2019-01-25 00:00 | E01020836 | County Durham 052E | 8726 | 3 | 8345 | 3 | 6951 | 3 | 3985 | 2 | 6250 | 2 | 8415 | 3 |
| {8355F009-BDEC-55C5-E053-6B04A8C0D090} | DH7 9YU | 88000 | T | N | F | 2019-01-25 00:00 | E01020658 | County Durham 024B | 6776 | 3 | 6784 | 3 | 4814 | 2 | 10079 | 4 | 2099 | 1 | 8350 | 3 |
| {8355F009-BDED-55C5-E053-6B04A8C0D090} | SR1 3JP | 210000 | O | N | F | 2019-01-31 00:00 | E01008703 | Sunderland 013B | 3277 | 1 | 5273 | 2 | 4161 | 2 | 1717 | 1 | 126 | 1 | 8011 | 3 |
| {8355F009-BDEF-55C5-E053-6B04A8C0D090} | DL4 1JD | 39950 | T | N | F | 2019-01-18 00:00 | E01020801 | County Durham 059A | 9721 | 3 | 7038 | 3 | 7491 | 3 | 3474 | 2 | 11127 | 4 | 14438 | 5 |
| {8355F009-BDF0-55C5-E053-6B04A8C0D090} | DL2 2BU | 115000 | S | N | F | 2019-02-01 00:00 | E01012338 | Darlington 015A | 16670 | 6 | 16775 | 6 | 13295 | 5 | 6999 | 3 | 16638 | 6 | 21677 | 7 |
| {8355F009-BDF1-55C5-E053-6B04A8C0D090} | DL1 5HW | 120000 | F | N | L | 2019-02-22 00:00 | E01033484 | Darlington 008F | 1586 | 1 | 2318 | 1 | 669 | 1 | 480 | 1 | 822 | 1 | 11766 | 4 |
| {8355F009-BDF2-55C5-E053-6B04A8C0D090} | DL14 7EW | 70000 | O | N | L | 2019-01-11 00:00 | E01020868 | County Durham 055A | 6624 | 3 | 7640 | 3 | 4206 | 2 | 1450 | 1 | 4628 | 2 | 16839 | 6 |
| {8355F009-BDF3-55C5-E053-6B04A8C0D090} | DH8 7EF | 103000 | T | N | F | 2019-01-28 00:00 | E01020650 | County Durham 012A | 14196 | 5 | 11143 | 4 | 11114 | 4 | 22352 | 7 | 10171 | 4 | 11514 | 4 |
| {8355F009-BDF4-55C5-E053-6B04A8C0D090} | DH6 2LB | 185000 | D | N | F | 2019-02-01 00:00 | E01020760 | County Durham 034A | 8326 | 3 | 9845 | 3 | 4615 | 2 | 7766 | 3 | 2730 | 1 | 11999 | 4 |
| {8355F009-BDF5-55C5-E053-6B04A8C0D090} | DL17 0EQ | 165000 | S | N | F | 2019-02-22 00:00 | E01020803 | County Durham 053B | 15038 | 5 | 13034 | 4 | 10371 | 4 | 12081 | 4 | 11116 | 4 | 12579 | 4 |
| {8355F009-BDF6-55C5-E053-6B04A8C0D090} | DH1 3RF | 830000 | D | N | F | 2019-02-11 00:00 | E01020713 | County Durham 033E | 31636 | 10 | 32606 | 10 | 32483 | 10 | 30417 | 10 | 30334 | 10 | 32769 | 10 |
| {8355F009-BDF7-55C5-E053-6B04A8C0D090} | DL17 0EQ | 180000 | D | N | F | 2019-02-08 00:00 | E01020803 | County Durham 053B | 15038 | 5 | 13034 | 4 | 10371 | 4 | 12081 | 4 | 11116 | 4 | 12579 | 4 |
| {8355F009-BDF8-55C5-E053-6B04A8C0D090} | DH9 8DY | 45000 | T | N | F | 2019-01-31 00:00 | E01020638 | County Durham 006B | 8550 | 3 | 5664 | 2 | 5461 | 2 | 12860 | 4 | 5980 | 2 | 8892 | 3 |
| {8355F009-BDF9-55C5-E053-6B04A8C0D090} | DH7 7RG | 180000 | D | N | F | 2019-01-24 00:00 | E01020715 | County Durham 031C | 11156 | 4 | 9050 | 3 | 6917 | 3 | 10737 | 4 | 9137 | 3 | 9693 | 3 |
| {8355F009-BDFA-55C5-E053-6B04A8C0D090} | DH7 7RG | 155000 | D | N | F | 2019-01-24 00:00 | E01020715 | County Durham 031C | 11156 | 4 | 9050 | 3 | 6917 | 3 | 10737 | 4 | 9137 | 3 | 9693 | 3 |
| {8355F009-BDFB-55C5-E053-6B04A8C0D090} | SR2 9NA | 80000 | T | N | F | 2019-01-18 00:00 | E01008779 | Sunderland 024C | 10221 | 4 | 8839 | 3 | 8166 | 3 | 6921 | 3 | 4984 | 2 | 13028 | 4 |
| {8355F009-BDFD-55C5-E053-6B04A8C0D090} | DL14 7BW | 31500 | F | N | L | 2019-02-05 00:00 | E01020872 | County Durham 056C | 11087 | 4 | 10352 | 4 | 8918 | 3 | 5510 | 2 | 5141 | 2 | 16544 | 6 |
| {8355F009-BE00-55C5-E053-6B04A8C0D090} | DH7 9FF | 390000 | D | N | F | 2019-01-29 00:00 | E01020660 | County Durham 024D | 13583 | 5 | 13921 | 5 | 11371 | 4 | 14694 | 5 | 11332 | 4 | 14012 | 5 |
| {8355F009-BE01-55C5-E053-6B04A8C0D090} | DH7 9FF | 390000 | O | N | F | 2019-01-29 00:00 | E01020660 | County Durham 024D | 13583 | 5 | 13921 | 5 | 11371 | 4 | 14694 | 5 | 11332 | 4 | 14012 | 5 |
| {8355F009-BE03-55C5-E053-6B04A8C0D090} | SR7 7TZ | 115000 | S | N | F | 2019-02-01 00:00 | E01020740 | County Durham 017A | 14665 | 5 | 14158 | 5 | 11034 | 4 | 12563 | 4 | 7333 | 3 | 11461 | 4 |
| {8355F009-BE04-55C5-E053-6B04A8C0D090} | SR7 7TZ | 115000 | S | N | F | 2019-02-01 00:00 | E01020740 | County Durham 017A | 14665 | 5 | 14158 | 5 | 11034 | 4 | 12563 | 4 | 7333 | 3 | 11461 | 4 |
| {8355F009-BE05-55C5-E053-6B04A8C0D090} | DL13 5ND | 110000 | O | N | F | 2019-01-25 00:00 | E01020864 | County Durham 064G | 15678 | 5 | 16863 | 6 | 14797 | 5 | 27213 | 9 | 16204 | 5 | 16924 | 6 |
| {8355F009-BE24-55C5-E053-6B04A8C0D090} | DL16 7FZ | 100000 | T | Y | F | 2019-01-03 00:00 | E01020820 | County Durham 049C | 4984 | 2 | 3852 | 2 | 3991 | 2 | 5336 | 2 | 3379 | 2 | 4833 | 2 |
| {8355F009-BE2D-55C5-E053-6B04A8C0D090} | SR7 9DE | 39950 | T | N | F | 2019-01-09 00:00 | E01033161 | County Durham 021D | 14725 | 5 | 15572 | 5 | 13656 | 5 | 5542 | 2 | 7235 | 3 | 12707 | 4 |
| {8355F009-B3F0-55C5-E053-6B04A8C0D090} | NW2 2RJ | 328000 | F | N | L | 2019-01-04 00:00 | E01000143 | Barnet 041D | 7380 | 3 | 4534 | 2 | 6262 | 2 | 5800 | 2 | 17289 | 6 | 16148 | 5 |
| {8355F009-B3F1-55C5-E053-6B04A8C0D090} | TW14 9BW | 285000 | F | N | L | 2019-02-15 00:00 | E01002590 | Hounslow 022C | 15491 | 5 | 18181 | 6 | 21107 | 7 | 11017 | 4 | 18459 | 6 | 10804 | 4 |
| {8355F009-B3F4-55C5-E053-6B04A8C0D090} | TW13 7QA | 275000 | F | N | L | 2019-02-15 00:00 | E01002615 | Hounslow 026E | 5539 | 2 | 5324 | 2 | 7011 | 3 | 10233 | 4 | 11063 | 4 | 8312 | 3 |
| {8355F009-B3F5-55C5-E053-6B04A8C0D090} | TW1 1DG | 18200000 | O | N | F | 2019-01-18 00:00 | E01003867 | Richmond upon Thames 011A | 22428 | 7 | 21692 | 7 | 21259 | 7 | 12292 | 4 | 28969 | 9 | 31438 | 10 |
| {8355F009-B3F6-55C5-E053-6B04A8C0D090} | N8 9NL | 450000 | T | N | L | 2019-01-17 00:00 | E01002059 | Haringey 028C | 13380 | 5 | 10304 | 4 | 11686 | 4 | 13195 | 5 | 17450 | 6 | 29101 | 9 |
| {8355F009-B3F7-55C5-E053-6B04A8C0D090} | W4 5DY | 370000 | F | N | L | 2019-01-18 00:00 | E01001376 | Ealing 040B | 11416 | 4 | 7281 | 3 | 8441 | 3 | 17584 | 6 | 19691 | 6 | 20932 | 7 |
| {8355F009-B3F8-55C5-E053-6B04A8C0D090} | N22 5BY | 295000 | F | N | L | 2019-01-17 00:00 | E01002100 | Haringey 008B | 6336 | 2 | 7288 | 3 | 9437 | 3 | 4141 | 2 | 16335 | 5 | 8907 | 3 |
| {8355F009-B3F9-55C5-E053-6B04A8C0D090} | W4 2RB | 475000 | F | N | L | 2019-01-29 00:00 | E01002572 | Hounslow 007B | 7879 | 3 | 5815 | 2 | 7673 | 3 | 12416 | 4 | 8490 | 3 | 15172 | 5 |
| {8355F009-B3FB-55C5-E053-6B04A8C0D090} | TW13 6UB | 250000 | F | N | L | 2019-01-30 00:00 | E01002610 | Hounslow 028C | 9741 | 3 | 8162 | 3 | 11035 | 4 | 7424 | 3 | 15017 | 5 | 8368 | 3 |
| {8355F009-B3FC-55C5-E053-6B04A8C0D090} | HA4 9LT | 1175000 | O | N | F | 2019-02-01 00:00 | E01002417 | Hillingdon 008B | 28823 | 9 | 28289 | 9 | 29691 | 10 | 12019 | 4 | 29836 | 10 | 29199 | 9 |
| {8355F009-B3FD-55C5-E053-6B04A8C0D090} | UB3 2TP | 370000 | S | N | F | 2019-01-04 00:00 | E01002402 | Hillingdon 024C | 11133 | 4 | 10274 | 4 | 11437 | 4 | 7099 | 3 | 19588 | 6 | 12411 | 4 |
| {8355F009-B3FE-55C5-E053-6B04A8C0D090} | N17 6LP | 130000 | F | N | L | 2019-01-30 00:00 | E01002089 | Haringey 013D | 2662 | 1 | 1073 | 1 | 2043 | 1 | 14776 | 5 | 11269 | 4 | 5560 | 2 |
| {8355F009-B401-55C5-E053-6B04A8C0D090} | HA6 1QL | 210000 | O | N | L | 2019-01-18 00:00 | E01002483 | Hillingdon 002D | 25352 | 8 | 22589 | 7 | 21574 | 7 | 22612 | 7 | 22704 | 7 | 28878 | 9 |
| {8355F009-B402-55C5-E053-6B04A8C0D090} | TW5 9PN | 208000 | F | N | L | 2019-01-11 00:00 | E01002633 | Hounslow 005A | 4802 | 2 | 3598 | 2 | 5775 | 2 | 15771 | 5 | 8977 | 3 | 8875 | 3 |
| {8355F009-B406-55C5-E053-6B04A8C0D090} | EN1 2NW | 9000 | O | N | L | 2019-01-29 00:00 | E01001405 | Enfield 015A | 22069 | 7 | 17645 | 6 | 24418 | 8 | 22899 | 7 | 21676 | 7 | 27570 | 9 |
| {8355F009-B409-55C5-E053-6B04A8C0D090} | UB6 9RU | 1000 | O | N | L | 2019-01-08 00:00 | E01001258 | Ealing 010B | 18071 | 6 | 16502 | 6 | 17384 | 6 | 19924 | 7 | 23954 | 8 | 20624 | 7 |
| {8355F009-B40E-55C5-E053-6B04A8C0D090} | NW2 5AP | 340000 | F | N | L | 2019-01-18 00:00 | E01000639 | Brent 022C | 12728 | 4 | 12639 | 4 | 18679 | 6 | 4948 | 2 | 27175 | 9 | 20520 | 7 |
| {8355F009-B40F-55C5-E053-6B04A8C0D090} | NW10 5JA | 38500 | O | N | F | 2019-02-15 00:00 | E01000531 | Brent 033B | 10593 | 4 | 8043 | 3 | 10822 | 4 | 16348 | 5 | 20245 | 7 | 21313 | 7 |
| {8355F009-B411-55C5-E053-6B04A8C0D090} | TW13 4PA | 1000 | O | N | L | 2019-02-15 00:00 | E01002616 | Hounslow 027E | 16858 | 6 | 16016 | 5 | 19278 | 6 | 17469 | 6 | 16383 | 5 | 11425 | 4 |
| {8355F009-B412-55C5-E053-6B04A8C0D090} | E3 4PG | 325000 | F | N | L | 2019-02-06 00:00 | E01004268 | Tower Hamlets 012E | 6121 | 2 | 3680 | 2 | 6345 | 2 | 19864 | 7 | 6762 | 3 | 11128 | 4 |
| {8355F009-B413-55C5-E053-6B04A8C0D090} | E5 8NB | 247992 | F | N | L | 2019-01-25 00:00 | E01001770 | Hackney 010E | 6158 | 2 | 5430 | 2 | 9153 | 3 | 6146 | 2 | 8154 | 3 | 13477 | 5 |
| {8355F009-B415-55C5-E053-6B04A8C0D090} | TW8 0AP | 424000 | O | N | L | 2019-02-15 00:00 | E01033082 | Hounslow 003G | 10592 | 4 | 9912 | 4 | 12465 | 4 | 5762 | 2 | 15374 | 5 | 20886 | 7 |
| {8355F009-B416-55C5-E053-6B04A8C0D090} | EN2 7AQ | 336000 | F | N | L | 2019-01-30 00:00 | E01001457 | Enfield 010A | 20056 | 7 | 17805 | 6 | 19171 | 6 | 29179 | 9 | 25147 | 8 | 24702 | 8 |
| {8355F009-B417-55C5-E053-6B04A8C0D090} | HA0 1BN | 1320000 | O | N | F | 2019-01-30 00:00 | E01000475 | Brent 029C | 13473 | 5 | 13267 | 5 | 19273 | 6 | 23209 | 8 | 28063 | 9 | 18822 | 6 |
| {8355F009-B419-55C5-E053-6B04A8C0D090} | UB6 0NY | 305000 | T | N | F | 2019-02-01 00:00 | E01001307 | Ealing 002A | 23210 | 8 | 22225 | 7 | 27549 | 9 | 17560 | 6 | 30411 | 10 | 22160 | 7 |
| {8355F009-B41A-55C5-E053-6B04A8C0D090} | TW7 7QQ | 323500 | F | N | L | 2019-01-11 00:00 | E01002673 | Hounslow 020E | 2294 | 1 | 1421 | 1 | 2734 | 1 | 8717 | 3 | 4688 | 2 | 6787 | 3 |
| {8355F009-B41C-55C5-E053-6B04A8C0D090} | HA4 8JY | 5000 | O | N | L | 2019-01-21 00:00 | E01002535 | Hillingdon 007E | 26634 | 9 | 23190 | 8 | 26887 | 9 | 16664 | 6 | 27499 | 9 | 29068 | 9 |
| {8355F009-B41D-55C5-E053-6B04A8C0D090} | TW8 0GR | 285000 | F | N | L | 2019-01-18 00:00 | E01002568 | Hounslow 003D | 7180 | 3 | 6014 | 2 | 11064 | 4 | 6260 | 2 | 6566 | 2 | 17222 | 6 |
| {8355F009-B7A7-55C5-E053-6B04A8C0D090} | HP13 5DQ | 531000 | O | N | F | 2019-01-29 00:00 | E01017837 | Wycombe 015B | 12204 | 4 | 11192 | 4 | 14573 | 5 | 5068 | 2 | 17040 | 6 | 16809 | 6 |
| {8355F009-B7C1-55C5-E053-6B04A8C0D090} | HP11 2FP | 228000 | F | Y | L | 2019-01-11 00:00 | E01017837 | Wycombe 015B | 12204 | 4 | 11192 | 4 | 14573 | 5 | 5068 | 2 | 17040 | 6 | 16809 | 6 |
| {8355F009-B7C2-55C5-E053-6B04A8C0D090} | MK3 7DT | 280000 | S | N | F | 2019-01-21 00:00 | E01016833 | Milton Keynes 029D | 28431 | 9 | 28525 | 9 | 30304 | 10 | 25177 | 8 | 27389 | 9 | 24012 | 8 |
| {8355F009-B7C5-55C5-E053-6B04A8C0D090} | MK18 7BB | 230000 | S | N | F | 2019-01-08 00:00 | E01017644 | Aylesbury Vale 002A | 28060 | 9 | 26956 | 9 | 27295 | 9 | 27306 | 9 | 28741 | 9 | 19951 | 7 |
| {8355F009-B7C9-55C5-E053-6B04A8C0D090} | MK18 3AT | 300000 | T | N | F | 2019-01-17 00:00 | E01017736 | Aylesbury Vale 005B | 22732 | 7 | 15276 | 5 | 16174 | 5 | 24334 | 8 | 24646 | 8 | 19336 | 6 |
| {8355F009-B7CD-55C5-E053-6B04A8C0D090} | CB4 3JL | 600000 | S | N | F | 2019-01-28 00:00 | E01017955 | Cambridge 005A | 30984 | 10 | 28342 | 9 | 32328 | 10 | 22507 | 7 | 29576 | 10 | 32562 | 10 |
| {8355F009-B7CE-55C5-E053-6B04A8C0D090} | PE2 5FW | 148500 | T | N | F | 2019-02-07 00:00 | E01015637 | Peterborough 021A | 1519 | 1 | 2297 | 1 | 2666 | 1 | 3218 | 1 | 1816 | 1 | 1569 | 1 |
| {8355F009-B7D1-55C5-E053-6B04A8C0D090} | PE28 5QU | 100000 | O | N | F | 2019-02-14 00:00 | E01018192 | Huntingdonshire 004B | 20346 | 7 | 18470 | 6 | 19953 | 7 | 23423 | 8 | 27071 | 9 | 16138 | 5 |
| {8355F009-B7D2-55C5-E053-6B04A8C0D090} | CB6 1RY | 216000 | O | N | F | 2019-02-08 00:00 | E01018027 | East Cambridgeshire 003A | 29025 | 9 | 27394 | 9 | 28511 | 9 | 29450 | 9 | 30686 | 10 | 25775 | 8 |
| {8355F009-B7D3-55C5-E053-6B04A8C0D090} | CB7 5QQ | 725000 | D | N | F | 2019-01-30 00:00 | E01018035 | East Cambridgeshire 007B | 18031 | 6 | 20187 | 7 | 21721 | 7 | 30594 | 10 | 26337 | 9 | 16164 | 5 |
| {8355F009-B7D4-55C5-E053-6B04A8C0D090} | PE7 3YQ | 135000 | S | N | F | 2019-01-21 00:00 | E01018214 | Huntingdonshire 001C | 15402 | 5 | 11243 | 4 | 11143 | 4 | 18685 | 6 | 20006 | 7 | 7556 | 3 |
| {8355F009-B7D5-55C5-E053-6B04A8C0D090} | CB21 6AN | 1400000 | O | N | F | 2019-01-21 00:00 | E01018288 | South Cambridgeshire 017C | 29835 | 10 | 26853 | 9 | 28910 | 9 | 31614 | 10 | 30437 | 10 | 29188 | 9 |
| {8355F009-B7D8-55C5-E053-6B04A8C0D090} | CB8 8AW | 295000 | S | N | F | 2019-02-08 00:00 | E01032611 | East Cambridgeshire 011D | 29194 | 9 | 32166 | 10 | 32491 | 10 | 30873 | 10 | 32003 | 10 | 27496 | 9 |
| {8355F009-B7DA-55C5-E053-6B04A8C0D090} | CB8 8AT | 450000 | D | N | F | 2019-01-18 00:00 | E01018019 | East Cambridgeshire 011B | 31590 | 10 | 30298 | 10 | 28725 | 9 | 31009 | 10 | 24073 | 8 | 25025 | 8 |
| {8355F009-B7DD-55C5-E053-6B04A8C0D090} | PE1 2QY | 95500 | F | N | L | 2019-01-18 00:00 | E01015655 | Peterborough 014E | 14158 | 5 | 15835 | 5 | 19582 | 6 | 3299 | 2 | 15522 | 5 | 15880 | 5 |
| {8355F009-B7DE-55C5-E053-6B04A8C0D090} | PE16 6DX | 170000 | T | N | F | 2019-02-18 00:00 | E01018102 | Fenland 011B | 10930 | 4 | 9891 | 4 | 9126 | 3 | 9374 | 3 | 10616 | 4 | 7218 | 3 |
| {8355F009-B7DF-55C5-E053-6B04A8C0D090} | PE1 1PW | 275000 | O | N | F | 2019-02-15 00:00 | E01015599 | Peterborough 014A | 4770 | 2 | 6436 | 2 | 11553 | 4 | 1760 | 1 | 8793 | 3 | 1400 | 1 |
| {8355F009-B7E0-55C5-E053-6B04A8C0D090} | PE29 3QS | 337000 | S | N | F | 2019-01-11 00:00 | E01018138 | Huntingdonshire 012A | 13178 | 5 | 16996 | 6 | 13646 | 5 | 12741 | 4 | 18963 | 6 | 13402 | 5 |
| {8355F009-B7E2-55C5-E053-6B04A8C0D090} | PE13 2PG | 110000 | T | N | F | 2019-01-25 00:00 | E01033112 | Fenland 003I | 3986 | 2 | 9043 | 3 | 6745 | 3 | 1396 | 1 | 2762 | 1 | 1742 | 1 |
| {8355F009-B7E3-55C5-E053-6B04A8C0D090} | PE13 2UQ | 160000 | D | N | F | 2019-02-15 00:00 | E01018069 | Fenland 003A | 15384 | 5 | 17642 | 6 | 16985 | 6 | 18334 | 6 | 6005 | 2 | 10695 | 4 |
| {8355F009-B7E4-55C5-E053-6B04A8C0D090} | SG8 5QN | 895000 | O | N | F | 2019-02-01 00:00 | E01018275 | South Cambridgeshire 013D | 26937 | 9 | 27713 | 9 | 29127 | 9 | 22874 | 7 | 30921 | 10 | 22505 | 7 |
| {8355F009-B7E5-55C5-E053-6B04A8C0D090} | PE15 8SS | 130000 | T | N | F | 2019-01-31 00:00 | E01018084 | Fenland 005D | 12357 | 4 | 13390 | 5 | 10863 | 4 | 26894 | 9 | 7143 | 3 | 10945 | 4 |
| {8355F009-B7E6-55C5-E053-6B04A8C0D090} | PE13 1DP | 180000 | F | N | F | 2019-01-22 00:00 | E01033112 | Fenland 003I | 3986 | 2 | 9043 | 3 | 6745 | 3 | 1396 | 1 | 2762 | 1 | 1742 | 1 |
| {8355F009-B7E7-55C5-E053-6B04A8C0D090} | PE2 6SN | 190000 | S | N | F | 2019-02-01 00:00 | E01015644 | Peterborough 018B | 18165 | 6 | 16966 | 6 | 19089 | 6 | 28146 | 9 | 14083 | 5 | 12795 | 4 |
| {8355F009-B7E8-55C5-E053-6B04A8C0D090} | PE2 8SS | 165000 | S | N | F | 2019-02-15 00:00 | E01015667 | Peterborough 019A | 9290 | 3 | 10271 | 4 | 14712 | 5 | 1253 | 1 | 7324 | 3 | 9174 | 3 |
| {8355F009-BAE3-55C5-E053-6B04A8C0D090} | CA13 0QE | 3000 | O | N | F | 2019-02-13 00:00 | E01019090 | Allerdale 007E | 15065 | 5 | 28772 | 9 | 31101 | 10 | 24115 | 8 | 25116 | 8 | 29648 | 10 |
| {8355F009-BAE4-55C5-E053-6B04A8C0D090} | CA11 8HR | 330000 | O | N | F | 2019-02-15 00:00 | E01019333 | Eden 003C | 8695 | 3 | 9831 | 3 | 7368 | 3 | 15123 | 5 | 10600 | 4 | 4234 | 2 |
| {8355F009-BAE5-55C5-E053-6B04A8C0D090} | CA14 2AD | 145000 | O | N | F | 2019-02-22 00:00 | E01019121 | Allerdale 009E | 1912 | 1 | 4380 | 2 | 1222 | 1 | 5445 | 2 | 1280 | 1 | 2576 | 1 |
| {8355F009-BAE7-55C5-E053-6B04A8C0D090} | LA23 2JS | 400000 | O | N | F | 2019-02-06 00:00 | E01019396 | South Lakeland 002B | 26961 | 9 | 21964 | 7 | 23519 | 8 | 28276 | 9 | 29506 | 9 | 21441 | 7 |
| {8355F009-BAE8-55C5-E053-6B04A8C0D090} | CA11 9BY | 157500 | T | N | F | 2019-02-15 00:00 | E01019336 | Eden 003E | 17200 | 6 | 18333 | 6 | 16441 | 6 | 21682 | 7 | 18669 | 6 | 11343 | 4 |
| {8355F009-BAE9-55C5-E053-6B04A8C0D090} | CA16 6TU | 118000 | O | N | F | 2019-02-06 00:00 | E01019307 | Eden 006B | 25163 | 8 | 23117 | 8 | 23075 | 8 | 27985 | 9 | 24956 | 8 | 13820 | 5 |
| {8355F009-BAEB-55C5-E053-6B04A8C0D090} | CA14 2NR | 72000 | O | N | L | 2019-01-31 00:00 | E01019120 | Allerdale 009D | 8979 | 3 | 12241 | 4 | 10393 | 4 | 8163 | 3 | 9864 | 4 | 6602 | 3 |
| {8355F009-BAEC-55C5-E053-6B04A8C0D090} | LA14 5PA | 110000 | T | N | F | 2019-01-14 00:00 | E01019167 | Barrow-in-Furness 005A | 11735 | 4 | 17788 | 6 | 13432 | 5 | 25697 | 8 | 3091 | 1 | 18233 | 6 |
| {8355F009-BAED-55C5-E053-6B04A8C0D090} | LA12 0JB | 155000 | T | N | F | 2019-01-25 00:00 | E01019378 | South Lakeland 014A | 24852 | 8 | 24333 | 8 | 22100 | 7 | 32801 | 10 | 24426 | 8 | 26902 | 9 |
| {8355F009-BAEE-55C5-E053-6B04A8C0D090} | LA9 4RR | 165000 | T | N | F | 2019-02-01 00:00 | E01019370 | South Lakeland 003D | 23740 | 8 | 24565 | 8 | 20310 | 7 | 25111 | 8 | 24300 | 8 | 23544 | 8 |
| {8355F009-BAEF-55C5-E053-6B04A8C0D090} | LA14 5AP | 82500 | F | N | F | 2019-02-15 00:00 | E01019171 | Barrow-in-Furness 005E | 6781 | 3 | 11127 | 4 | 6971 | 3 | 21207 | 7 | 1591 | 1 | 15962 | 5 |
| {8355F009-BAF0-55C5-E053-6B04A8C0D090} | LA18 5EE | 90750 | T | N | F | 2019-02-01 00:00 | E01019289 | Copeland 008C | 8008 | 3 | 8099 | 3 | 5496 | 2 | 32045 | 10 | 5373 | 2 | 4209 | 2 |
| {8355F009-BAF1-55C5-E053-6B04A8C0D090} | LA14 2HZ | 55000 | T | N | F | 2019-02-18 00:00 | E01019143 | Barrow-in-Furness 008C | 99 | 1 | 601 | 1 | 225 | 1 | 1712 | 1 | 44 | 1 | 1661 | 1 |
| {8355F009-BAF3-55C5-E053-6B04A8C0D090} | LA14 1AY | 41000 | T | N | F | 2019-01-14 00:00 | E01019142 | Barrow-in-Furness 008B | 695 | 1 | 1879 | 1 | 1748 | 1 | 1479 | 1 | 353 | 1 | 2263 | 1 |
| {8355F009-BAF4-55C5-E053-6B04A8C0D090} | LA18 4NF | 650000 | O | N | F | 2019-02-21 00:00 | E01019283 | Copeland 008B | 12225 | 4 | 19889 | 7 | 12952 | 4 | 31371 | 10 | 2340 | 1 | 8918 | 3 |
| {8355F009-BAF5-55C5-E053-6B04A8C0D090} | LA15 8AN | 105000 | S | N | F | 2019-01-31 00:00 | E01019147 | Barrow-in-Furness 001D | 12184 | 4 | 18178 | 6 | 14066 | 5 | 27216 | 9 | 5769 | 2 | 13104 | 4 |
| {85866A64-AC7F-143F-E053-6B04A8C06A15} | CO5 7PU | 258000 | T | N | F | 2019-02-18 00:00 | E01021694 | Colchester 019D | 15200 | 5 | 23254 | 8 | 16915 | 6 | 17077 | 6 | 22454 | 7 | 20485 | 7 |
| {85866A64-AC80-143F-E053-6B04A8C06A15} | CM18 7QJ | 236000 | T | N | F | 2019-03-08 00:00 | E01021862 | Harlow 011A | 11311 | 4 | 9927 | 4 | 11739 | 4 | 15640 | 5 | 9097 | 3 | 6640 | 3 |
| {85866A64-AC81-143F-E053-6B04A8C06A15} | CM9 6BW | 285000 | S | N | F | 2019-02-15 00:00 | E01021894 | Maldon 005B | 17349 | 6 | 12657 | 4 | 13781 | 5 | 25725 | 8 | 16392 | 5 | 9688 | 3 |
| {85866A64-AC82-143F-E053-6B04A8C06A15} | IG10 1PR | 255000 | F | N | L | 2019-02-12 00:00 | E01021786 | Epping Forest 012A | 29157 | 9 | 28037 | 9 | 27865 | 9 | 17841 | 6 | 32212 | 10 | 22634 | 7 |
| {85866A64-AC85-143F-E053-6B04A8C06A15} | CM2 0ND | 450000 | F | N | F | 2019-02-28 00:00 | E01033140 | Chelmsford 010F | 14057 | 5 | 13069 | 4 | 15939 | 5 | 1340 | 1 | 16716 | 6 | 28235 | 9 |
| {85866A64-AC86-143F-E053-6B04A8C06A15} | SS17 7JU | 185000 | F | N | L | 2019-02-21 00:00 | E01015987 | Thurrock 002C | 7637 | 3 | 7020 | 3 | 7204 | 3 | 12902 | 4 | 6874 | 3 | 4201 | 2 |
| {85866A64-AC87-143F-E053-6B04A8C06A15} | CM3 5ZQ | 164000 | T | N | L | 2019-02-19 00:00 | E01021607 | Chelmsford 020C | 25705 | 8 | 22354 | 7 | 24577 | 8 | 27730 | 9 | 27405 | 9 | 16916 | 6 |
| {85866A64-AC89-143F-E053-6B04A8C06A15} | RM17 5UH | 515000 | S | N | F | 2019-02-27 00:00 | E01015960 | Thurrock 014A | 24939 | 8 | 20120 | 7 | 24288 | 8 | 15055 | 5 | 22055 | 7 | 19285 | 6 |
| {85866A64-AC8A-143F-E053-6B04A8C06A15} | IG7 6ND | 550000 | F | N | L | 2019-02-15 00:00 | E01021749 | Epping Forest 016A | 23873 | 8 | 21748 | 7 | 20143 | 7 | 12952 | 4 | 28884 | 9 | 17201 | 6 |
| {85866A64-AC8B-143F-E053-6B04A8C06A15} | SS4 1RU | 260000 | T | N | F | 2019-03-01 00:00 | E01021954 | Rochford 007D | 15970 | 5 | 16140 | 5 | 21245 | 7 | 4411 | 2 | 19498 | 6 | 10295 | 4 |
| {85866A64-AC8C-143F-E053-6B04A8C06A15} | CM1 6LB | 190000 | F | N | L | 2019-02-11 00:00 | E01021620 | Chelmsford 004D | 24150 | 8 | 21386 | 7 | 23983 | 8 | 18399 | 6 | 23518 | 8 | 17467 | 6 |
| {85866A64-AC8D-143F-E053-6B04A8C06A15} | RM16 4TZ | 211000 | F | N | L | 2019-02-21 00:00 | E01015938 | Thurrock 012F | 5389 | 2 | 3523 | 2 | 4376 | 2 | 8404 | 3 | 10528 | 4 | 6107 | 2 |
| {85866A64-AC8E-143F-E053-6B04A8C06A15} | SS16 5JS | 670000 | D | N | F | 2019-03-01 00:00 | E01021299 | Basildon 020E | 24395 | 8 | 28590 | 9 | 23910 | 8 | 5364 | 2 | 23795 | 8 | 18656 | 6 |
| {85866A64-AC90-143F-E053-6B04A8C06A15} | CM9 5JQ | 305000 | S | N | F | 2019-02-20 00:00 | E01021889 | Maldon 004A | 9591 | 3 | 9613 | 3 | 7414 | 3 | 14158 | 5 | 15256 | 5 | 5650 | 2 |
| {85866A64-AC91-143F-E053-6B04A8C06A15} | RM16 2PU | 283000 | S | N | F | 2019-02-08 00:00 | E01015964 | Thurrock 010B | 20425 | 7 | 20431 | 7 | 18320 | 6 | 14298 | 5 | 21407 | 7 | 14284 | 5 |
| {85866A64-AC92-143F-E053-6B04A8C06A15} | CM2 7TQ | 975000 | D | N | F | 2019-02-22 00:00 | E01021571 | Chelmsford 013E | 18431 | 6 | 21393 | 7 | 26117 | 8 | 13562 | 5 | 30385 | 10 | 21493 | 7 |
| {85866A64-AC93-143F-E053-6B04A8C06A15} | SS14 2DJ | 170000 | F | N | L | 2019-03-11 00:00 | E01021319 | Basildon 017E | 7092 | 3 | 7985 | 3 | 6467 | 2 | 1170 | 1 | 15819 | 5 | 6015 | 2 |
| {85866A64-AC95-143F-E053-6B04A8C06A15} | RM15 4BJ | 110000 | F | N | L | 2019-02-08 00:00 | E01015921 | Thurrock 015A | 6684 | 3 | 8557 | 3 | 13478 | 5 | 2597 | 1 | 19861 | 7 | 7746 | 3 |
| {85866A64-AC96-143F-E053-6B04A8C06A15} | CM8 2DF | 162500 | F | N | L | 2019-02-25 00:00 | E01021416 | Braintree 017B | 21298 | 7 | 22876 | 7 | 19474 | 6 | 15508 | 5 | 11026 | 4 | 21087 | 7 |
| {85866A64-AC97-143F-E053-6B04A8C06A15} | CM1 4NX | 195000 | F | N | L | 2019-02-28 00:00 | E01021551 | Chelmsford 011A | 17311 | 6 | 24657 | 8 | 23072 | 8 | 21609 | 7 | 28360 | 9 | 16887 | 6 |
| {85866A64-AC99-143F-E053-6B04A8C06A15} | CM14 4AT | 415000 | F | N | L | 2019-02-14 00:00 | E01021439 | Brentwood 007C | 21446 | 7 | 18203 | 6 | 22992 | 8 | 10794 | 4 | 20223 | 7 | 23880 | 8 |
| {85866A64-AC9A-143F-E053-6B04A8C06A15} | CO7 9ES | 230000 | S | N | F | 2019-01-21 00:00 | E01021740 | Colchester 017E | 24360 | 8 | 17402 | 6 | 21307 | 7 | 27450 | 9 | 22961 | 7 | 18298 | 6 |
| {85866A64-AC9C-143F-E053-6B04A8C06A15} | SS17 0NX | 350000 | S | N | F | 2019-01-11 00:00 | E01015990 | Thurrock 003D | 12827 | 4 | 12448 | 4 | 12390 | 4 | 13711 | 5 | 17344 | 6 | 5300 | 2 |
| {85866A64-AC9D-143F-E053-6B04A8C06A15} | CM1 4JP | 350000 | T | N | F | 2019-02-28 00:00 | E01021589 | Chelmsford 006C | 17947 | 6 | 14737 | 5 | 15976 | 5 | 11049 | 4 | 22361 | 7 | 15834 | 5 |
| {85866A64-AC9E-143F-E053-6B04A8C06A15} | CM13 1YL | 262000 | F | N | L | 2019-03-21 00:00 | E01021453 | Brentwood 005B | 29525 | 9 | 27437 | 9 | 23656 | 8 | 18405 | 6 | 26326 | 9 | 26958 | 9 |
| {85866A64-AC9F-143F-E053-6B04A8C06A15} | RM16 2NU | 444000 | S | N | F | 2019-02-13 00:00 | E01015963 | Thurrock 010A | 6452 | 2 | 4170 | 2 | 4057 | 2 | 15803 | 5 | 13582 | 5 | 6572 | 3 |
| {85866A64-ACA0-143F-E053-6B04A8C06A15} | RM14 1QT | 427500 | S | N | F | 2019-03-20 00:00 | E01002253 | Havering 019A | 32507 | 10 | 32081 | 10 | 31967 | 10 | 28727 | 9 | 31592 | 10 | 26678 | 9 |
| {85866A64-ACA1-143F-E053-6B04A8C06A15} | CM15 0NJ | 672500 | D | N | F | 2019-02-05 00:00 | E01021441 | Brentwood 001A | 26638 | 9 | 23400 | 8 | 18517 | 6 | 28143 | 9 | 31172 | 10 | 15231 | 5 |
| {85866A64-ACA2-143F-E053-6B04A8C06A15} | CO3 0RY | 381000 | D | N | F | 2019-03-01 00:00 | E01021722 | Colchester 012E | 18862 | 6 | 17842 | 6 | 17870 | 6 | 21746 | 7 | 15971 | 5 | 16131 | 5 |
| {85866A64-ACA3-143F-E053-6B04A8C06A15} | SS9 5RY | 330000 | S | N | F | 2019-02-06 00:00 | E01015833 | Southend-on-Sea 001A | 28336 | 9 | 25242 | 8 | 24389 | 8 | 27372 | 9 | 21716 | 7 | 18613 | 6 |
| {85866A64-ACA4-143F-E053-6B04A8C06A15} | CM2 6RG | 470000 | D | N | F | 2019-02-08 00:00 | E01021546 | Chelmsford 008C | 23080 | 8 | 18273 | 6 | 26777 | 9 | 21458 | 7 | 29324 | 9 | 22678 | 7 |
| {85866A64-ACA5-143F-E053-6B04A8C06A15} | SS14 2SE | 280000 | T | N | F | 2019-02-27 00:00 | E01021272 | Basildon 012E | 10135 | 4 | 10602 | 4 | 8808 | 3 | 6768 | 3 | 15873 | 5 | 3888 | 2 |
| {85866A64-ACA6-143F-E053-6B04A8C06A15} | CM20 2LN | 167500 | F | N | L | 2019-03-01 00:00 | E01021845 | Harlow 002B | 11094 | 4 | 7771 | 3 | 9730 | 3 | 15203 | 5 | 11665 | 4 | 7630 | 3 |
| {85866A64-AEB1-143F-E053-6B04A8C06A15} | CM9 6EW | 315000 | S | N | F | 2019-02-11 00:00 | E01021898 | Maldon 005F | 18168 | 6 | 14295 | 5 | 10785 | 4 | 27929 | 9 | 16730 | 6 | 12245 | 4 |
| {85866A64-AEB2-143F-E053-6B04A8C06A15} | CM9 4PT | 305000 | T | N | F | 2019-02-01 00:00 | E01021887 | Maldon 003D | 23350 | 8 | 23869 | 8 | 21322 | 7 | 28248 | 9 | 27271 | 9 | 16625 | 6 |
| {85866A64-AEB3-143F-E053-6B04A8C06A15} | EN9 3XP | 295000 | F | N | L | 2019-03-25 00:00 | E01021817 | Epping Forest 008E | 12905 | 4 | 13646 | 5 | 14617 | 5 | 10480 | 4 | 23275 | 8 | 7501 | 3 |
| {85866A64-AEB4-143F-E053-6B04A8C06A15} | SS8 7DF | 270000 | D | N | F | 2019-01-25 00:00 | E01021500 | Castle Point 012E | 1311 | 1 | 717 | 1 | 339 | 1 | 5606 | 2 | 4480 | 2 | 4559 | 2 |
| {85866A64-AEB5-143F-E053-6B04A8C06A15} | RM16 3HD | 327000 | S | N | F | 2019-03-04 00:00 | E01015977 | Thurrock 004A | 22346 | 7 | 26613 | 9 | 21663 | 7 | 8007 | 3 | 27627 | 9 | 14784 | 5 |
| {85866A64-AEB6-143F-E053-6B04A8C06A15} | SS7 3LA | 400000 | D | N | F | 2019-02-25 00:00 | E01021510 | Castle Point 002B | 22348 | 7 | 20969 | 7 | 19176 | 6 | 30215 | 10 | 15534 | 5 | 14229 | 5 |
| {85866A64-AEB7-143F-E053-6B04A8C06A15} | CO15 4RN | 265000 | D | N | F | 2019-02-28 00:00 | E01021984 | Tendring 010A | 11388 | 4 | 11680 | 4 | 8116 | 3 | 24500 | 8 | 7724 | 3 | 5645 | 2 |
| {85866A64-AEB8-143F-E053-6B04A8C06A15} | CO5 9TL | 475000 | D | N | F | 2019-02-22 00:00 | E01021643 | Colchester 019A | 27601 | 9 | 28946 | 9 | 30451 | 10 | 22211 | 7 | 28914 | 9 | 17286 | 6 |
| {85866A64-AEB9-143F-E053-6B04A8C06A15} | CO1 2TR | 148000 | T | N | F | 2019-02-25 00:00 | E01021648 | Colchester 007C | 11046 | 4 | 12456 | 4 | 12942 | 4 | 1984 | 1 | 12984 | 4 | 23468 | 8 |
| {85866A64-AEBA-143F-E053-6B04A8C06A15} | SS8 7EN | 188000 | D | N | F | 2019-03-08 00:00 | E01021497 | Castle Point 012D | 14538 | 5 | 13598 | 5 | 15491 | 5 | 21146 | 7 | 18078 | 6 | 3213 | 1 |
| {85866A64-AEBC-143F-E053-6B04A8C06A15} | CO7 9EX | 210000 | S | N | F | 2019-03-21 00:00 | E01021737 | Colchester 017B | 22925 | 7 | 22881 | 7 | 22398 | 7 | 31210 | 10 | 18304 | 6 | 20513 | 7 |
| {85866A64-AEBE-143F-E053-6B04A8C06A15} | RM16 4DS | 315000 | S | N | F | 2019-01-25 00:00 | E01015950 | Thurrock 013D | 17120 | 6 | 17211 | 6 | 19001 | 6 | 12625 | 4 | 22196 | 7 | 11428 | 4 |
| {85866A64-AEC2-143F-E053-6B04A8C06A15} | CO9 3LH | 350000 | S | N | F | 2019-03-01 00:00 | E01021400 | Braintree 003D | 24365 | 8 | 21658 | 7 | 21328 | 7 | 27672 | 9 | 27982 | 9 | 14017 | 5 |
| {85866A64-AEC3-143F-E053-6B04A8C06A15} | SS3 9WD | 420000 | S | N | F | 2019-03-01 00:00 | E01015877 | Southend-on-Sea 013B | 8613 | 3 | 5923 | 2 | 6794 | 3 | 11915 | 4 | 10273 | 4 | 6874 | 3 |
| {85866A64-AEC4-143F-E053-6B04A8C06A15} | SS9 1DE | 250000 | F | N | L | 2019-02-08 00:00 | E01015846 | Southend-on-Sea 011B | 30087 | 10 | 25636 | 8 | 27931 | 9 | 19177 | 6 | 29251 | 9 | 26669 | 9 |
| {85866A64-AEC5-143F-E053-6B04A8C06A15} | CM14 4NB | 607500 | S | N | F | 2019-02-07 00:00 | E01021438 | Brentwood 006A | 31559 | 10 | 31890 | 10 | 31808 | 10 | 26150 | 8 | 32488 | 10 | 27709 | 9 |
| {85866A64-AEC6-143F-E053-6B04A8C06A15} | CM9 4PX | 288000 | T | N | F | 2019-02-15 00:00 | E01021887 | Maldon 003D | 23350 | 8 | 23869 | 8 | 21322 | 7 | 28248 | 9 | 27271 | 9 | 16625 | 6 |
| {85866A64-AEC7-143F-E053-6B04A8C06A15} | CM16 4FE | 300000 | F | N | L | 2019-02-11 00:00 | E01021757 | Epping Forest 006B | 29787 | 10 | 28672 | 9 | 30757 | 10 | 10426 | 4 | 31544 | 10 | 29333 | 9 |
| {85866A64-AEC8-143F-E053-6B04A8C06A15} | RM15 5LR | 300000 | T | N | F | 2019-02-22 00:00 | E01015972 | Thurrock 006C | 13691 | 5 | 11041 | 4 | 14807 | 5 | 9180 | 3 | 16249 | 5 | 9448 | 3 |
| {85866A64-AEC9-143F-E053-6B04A8C06A15} | CO12 4WL | 176000 | D | N | F | 2019-02-28 00:00 | E01022004 | Tendring 004D | 14048 | 5 | 15068 | 5 | 14549 | 5 | 11392 | 4 | 6122 | 2 | 8064 | 3 |
| {85866A64-AECA-143F-E053-6B04A8C06A15} | SS5 6HG | 290000 | S | N | F | 2019-02-08 00:00 | E01021944 | Rochford 001C | 27306 | 9 | 28072 | 9 | 25457 | 8 | 20737 | 7 | 31033 | 10 | 9861 | 4 |
| {85866A64-AECB-143F-E053-6B04A8C06A15} | CM9 4NR | 323500 | S | N | F | 2019-02-08 00:00 | E01021886 | Maldon 003C | 23349 | 8 | 21830 | 7 | 17080 | 6 | 28749 | 9 | 24086 | 8 | 15697 | 5 |
| {85866A64-AECC-143F-E053-6B04A8C06A15} | CM8 1TZ | 225000 | T | N | F | 2019-02-11 00:00 | E01021427 | Braintree 016C | 10404 | 4 | 11664 | 4 | 11053 | 4 | 9413 | 3 | 12465 | 4 | 5187 | 2 |
| {85866A64-AECD-143F-E053-6B04A8C06A15} | SS1 2SY | 450000 | S | N | F | 2019-02-11 00:00 | E01015892 | Southend-on-Sea 016D | 28552 | 9 | 24107 | 8 | 26125 | 8 | 18595 | 6 | 27022 | 9 | 19373 | 6 |
| {85866A64-AECE-143F-E053-6B04A8C06A15} | IG1 2UW | 375000 | T | N | F | 2019-03-08 00:00 | E01003739 | Redbridge 031C | 14512 | 5 | 8555 | 3 | 15658 | 5 | 9756 | 3 | 25908 | 8 | 22039 | 7 |
| {85866A64-AECF-143F-E053-6B04A8C06A15} | RM16 6AP | 210000 | F | N | L | 2019-02-15 00:00 | E01033613 | Thurrock 019D | 29837 | 10 | 30295 | 10 | 30798 | 10 | 23593 | 8 | 29863 | 10 | 24058 | 8 |
| {85866A64-AED0-143F-E053-6B04A8C06A15} | CO1 2PF | 318000 | D | N | F | 2019-02-01 00:00 | E01021648 | Colchester 007C | 11046 | 4 | 12456 | 4 | 12942 | 4 | 1984 | 1 | 12984 | 4 | 23468 | 8 |
| {85866A64-AED1-143F-E053-6B04A8C06A15} | CO12 5FG | 255000 | D | N | F | 2019-03-13 00:00 | E01022002 | Tendring 004C | 16473 | 6 | 15310 | 5 | 12675 | 4 | 26099 | 8 | 11942 | 4 | 9408 | 3 |
| {85866A64-AED2-143F-E053-6B04A8C06A15} | SS7 3AD | 312500 | S | N | F | 2019-02-15 00:00 | E01021512 | Castle Point 004D | 28781 | 9 | 27306 | 9 | 27752 | 9 | 27897 | 9 | 27508 | 9 | 14976 | 5 |
| {85866A64-AED3-143F-E053-6B04A8C06A15} | CO15 6PY | 58000 | F | N | L | 2019-01-24 00:00 | E01022027 | Tendring 016D | 1294 | 1 | 3683 | 2 | 1076 | 1 | 598 | 1 | 1515 | 1 | 4282 | 2 |
| {85866A64-AED4-143F-E053-6B04A8C06A15} | CM20 2PN | 334500 | S | N | F | 2019-03-08 00:00 | E01021853 | Harlow 003E | 12925 | 4 | 14216 | 5 | 14571 | 5 | 4608 | 2 | 15773 | 5 | 10573 | 4 |
| {85866A64-AA55-143F-E053-6B04A8C06A15} | SS15 6QR | 385000 | D | N | F | 2019-02-18 00:00 | E01021275 | Basildon 014B | 17300 | 6 | 18736 | 6 | 12667 | 4 | 9199 | 3 | 19596 | 6 | 11949 | 4 |
| {85866A64-AA56-143F-E053-6B04A8C06A15} | CO2 8BS | 278000 | S | N | F | 2019-03-21 00:00 | E01021664 | Colchester 016C | 14329 | 5 | 16323 | 5 | 15897 | 5 | 14863 | 5 | 16310 | 5 | 13043 | 4 |
| {85866A64-AA57-143F-E053-6B04A8C06A15} | SS9 1QA | 475000 | S | N | F | 2019-03-01 00:00 | E01015847 | Southend-on-Sea 011C | 23770 | 8 | 19789 | 7 | 20554 | 7 | 17068 | 6 | 24753 | 8 | 21293 | 7 |
| {85866A64-AA59-143F-E053-6B04A8C06A15} | RM1 4EF | 600000 | T | N | F | 2019-03-07 00:00 | E01002339 | Havering 008D | 29691 | 10 | 29664 | 10 | 30230 | 10 | 19751 | 7 | 30293 | 10 | 20315 | 7 |
| {85866A64-AA5A-143F-E053-6B04A8C06A15} | EN9 1TA | 340000 | T | N | F | 2019-02-15 00:00 | E01021808 | Epping Forest 008B | 12226 | 4 | 10077 | 4 | 14236 | 5 | 16316 | 5 | 22428 | 7 | 5108 | 2 |
| {85866A64-AA5B-143F-E053-6B04A8C06A15} | IG10 3DE | 455000 | T | N | F | 2019-03-01 00:00 | E01021785 | Epping Forest 014D | 14744 | 5 | 11692 | 4 | 12526 | 4 | 10792 | 4 | 20278 | 7 | 9065 | 3 |
| {85866A64-AA5C-143F-E053-6B04A8C06A15} | RM15 6EB | 347500 | S | N | F | 2019-02-14 00:00 | E01015930 | Thurrock 007D | 12172 | 4 | 13319 | 5 | 14322 | 5 | 9226 | 3 | 21746 | 7 | 7972 | 3 |
| {85866A64-AA5D-143F-E053-6B04A8C06A15} | CM18 7BJ | 413000 | D | N | F | 2019-02-19 00:00 | E01021823 | Harlow 006D | 6901 | 3 | 5765 | 2 | 6141 | 2 | 10620 | 4 | 7576 | 3 | 3880 | 2 |
| {85866A64-AA5E-143F-E053-6B04A8C06A15} | SS2 6XJ | 288000 | S | N | F | 2019-03-08 00:00 | E01015865 | Southend-on-Sea 002C | 15188 | 5 | 16044 | 5 | 14365 | 5 | 21553 | 7 | 16035 | 5 | 6796 | 3 |
| {85866A64-AA5F-143F-E053-6B04A8C06A15} | SS17 9AD | 525000 | D | N | F | 2019-02-14 00:00 | E01015943 | Thurrock 001A | 20575 | 7 | 23382 | 8 | 23197 | 8 | 14259 | 5 | 26304 | 9 | 11565 | 4 |
| {85866A64-AA60-143F-E053-6B04A8C06A15} | IG7 5BX | 635000 | T | N | F | 2019-03-01 00:00 | E01021752 | Epping Forest 016D | 23975 | 8 | 22798 | 7 | 29130 | 9 | 10134 | 4 | 30647 | 10 | 18023 | 6 |
| {85866A64-AA62-143F-E053-6B04A8C06A15} | IG10 3LP | 300000 | T | N | F | 2019-02-18 00:00 | E01021771 | Epping Forest 013A | 5221 | 2 | 4339 | 2 | 5344 | 2 | 7090 | 3 | 12147 | 4 | 3244 | 1 |
| {85866A64-AA63-143F-E053-6B04A8C06A15} | SS9 3EB | 425000 | D | N | F | 2019-03-18 00:00 | E01015821 | Southend-on-Sea 005B | 20310 | 7 | 17351 | 6 | 16442 | 6 | 18209 | 6 | 17519 | 6 | 16759 | 6 |
| {85866A64-AA64-143F-E053-6B04A8C06A15} | SS16 4BE | 265000 | T | N | F | 2019-02-15 00:00 | E01021295 | Basildon 020B | 9576 | 3 | 9463 | 3 | 11000 | 4 | 2142 | 1 | 16504 | 6 | 6803 | 3 |
| {85866A64-AA65-143F-E053-6B04A8C06A15} | E4 9SG | 630000 | S | N | F | 2019-03-06 00:00 | E01004386 | Waltham Forest 003C | 25868 | 8 | 27219 | 9 | 24801 | 8 | 17798 | 6 | 25645 | 8 | 22079 | 7 |
| {85866A64-AA66-143F-E053-6B04A8C06A15} | CM11 2BZ | 435000 | S | N | F | 2019-02-21 00:00 | E01021244 | Basildon 004A | 31412 | 10 | 30900 | 10 | 31642 | 10 | 17370 | 6 | 30269 | 10 | 28755 | 9 |
| {85866A64-AA67-143F-E053-6B04A8C06A15} | SS17 0RE | 338000 | S | N | F | 2019-03-15 00:00 | E01015950 | Thurrock 013D | 17120 | 6 | 17211 | 6 | 19001 | 6 | 12625 | 4 | 22196 | 7 | 11428 | 4 |
| {85866A64-AA68-143F-E053-6B04A8C06A15} | IG6 2UT | 445000 | T | N | F | 2019-03-12 00:00 | E01003702 | Redbridge 006E | 17235 | 6 | 14595 | 5 | 19884 | 7 | 10579 | 4 | 23633 | 8 | 17649 | 6 |
| {85866A64-AA69-143F-E053-6B04A8C06A15} | SS3 9DX | 220000 | T | N | F | 2019-03-13 00:00 | E01015917 | Southend-on-Sea 017D | 3667 | 2 | 3614 | 2 | 3062 | 1 | 5121 | 2 | 6131 | 2 | 1923 | 1 |
| {85866A64-AA6A-143F-E053-6B04A8C06A15} | SS13 3DH | 470000 | D | N | F | 2019-03-11 00:00 | E01021310 | Basildon 022B | 11590 | 4 | 16381 | 5 | 16347 | 5 | 961 | 1 | 16266 | 5 | 9371 | 3 |
| {85866A64-AA6B-143F-E053-6B04A8C06A15} | SS16 5HU | 422000 | S | N | F | 2019-02-28 00:00 | E01021299 | Basildon 020E | 24395 | 8 | 28590 | 9 | 23910 | 8 | 5364 | 2 | 23795 | 8 | 18656 | 6 |
| {85866A64-AA6C-143F-E053-6B04A8C06A15} | CB11 3QR | 277000 | T | N | F | 2019-03-01 00:00 | E01022073 | Uttlesford 003D | 29380 | 9 | 25334 | 8 | 27979 | 9 | 20515 | 7 | 26932 | 9 | 20222 | 7 |
| {85866A64-AA6D-143F-E053-6B04A8C06A15} | SS3 8AH | 311500 | D | N | F | 2019-03-04 00:00 | E01015915 | Southend-on-Sea 017B | 24412 | 8 | 26015 | 8 | 25772 | 8 | 8167 | 3 | 20177 | 7 | 21633 | 7 |
| {85866A64-AA6E-143F-E053-6B04A8C06A15} | SS16 5DU | 123000 | T | N | F | 2019-03-01 00:00 | E01021296 | Basildon 020C | 12969 | 4 | 12018 | 4 | 11559 | 4 | 3827 | 2 | 19569 | 6 | 11857 | 4 |
| {85866A64-AA6F-143F-E053-6B04A8C06A15} | CM12 0AR | 867000 | D | N | F | 2019-02-12 00:00 | E01021247 | Basildon 003E | 31165 | 10 | 27843 | 9 | 29719 | 10 | 23462 | 8 | 28815 | 9 | 26921 | 9 |
| {85866A64-AA70-143F-E053-6B04A8C06A15} | CM2 6RT | 475000 | D | N | F | 2019-02-28 00:00 | E01021548 | Chelmsford 013A | 29046 | 9 | 25713 | 8 | 27049 | 9 | 22822 | 7 | 30525 | 10 | 24905 | 8 |
| {85866A64-AA71-143F-E053-6B04A8C06A15} | EN9 1LE | 430000 | S | N | F | 2019-02-28 00:00 | E01021813 | Epping Forest 007B | 24014 | 8 | 27320 | 9 | 26380 | 9 | 10253 | 4 | 27608 | 9 | 10840 | 4 |
| {85866A64-AA72-143F-E053-6B04A8C06A15} | CO6 3LJ | 255000 | T | N | F | 2019-03-08 00:00 | E01021729 | Colchester 003C | 24483 | 8 | 19484 | 6 | 15744 | 5 | 29791 | 10 | 19873 | 7 | 23768 | 8 |
| {85866A64-AA73-143F-E053-6B04A8C06A15} | CM3 5TT | 290000 | S | N | F | 2019-03-18 00:00 | E01021611 | Chelmsford 019A | 29960 | 10 | 29487 | 9 | 27772 | 9 | 27886 | 9 | 31237 | 10 | 19667 | 6 |
| {85866A64-AA74-143F-E053-6B04A8C06A15} | RM20 3JT | 186500 | F | N | L | 2019-02-25 00:00 | E01016012 | Thurrock 015C | 10896 | 4 | 12837 | 4 | 17782 | 6 | 4963 | 2 | 17870 | 6 | 10767 | 4 |
| {85866A64-AA75-143F-E053-6B04A8C06A15} | CM1 6YS | 320000 | S | N | F | 2019-02-08 00:00 | E01021621 | Chelmsford 007B | 23198 | 8 | 23852 | 8 | 26567 | 9 | 15829 | 5 | 30199 | 10 | 15917 | 5 |
| {85866A64-AA76-143F-E053-6B04A8C06A15} | SS3 8AF | 455000 | D | N | F | 2019-03-15 00:00 | E01015915 | Southend-on-Sea 017B | 24412 | 8 | 26015 | 8 | 25772 | 8 | 8167 | 3 | 20177 | 7 | 21633 | 7 |
| {85866A64-AA77-143F-E053-6B04A8C06A15} | IG7 5LR | 290000 | F | N | L | 2019-03-15 00:00 | E01021766 | Epping Forest 017C | 26195 | 8 | 24488 | 8 | 29626 | 10 | 6783 | 3 | 30679 | 10 | 23618 | 8 |
| {85866A64-AA78-143F-E053-6B04A8C06A15} | RM17 6BH | 315000 | T | N | F | 2019-03-01 00:00 | E01015967 | Thurrock 014B | 22370 | 7 | 21402 | 7 | 22563 | 7 | 15374 | 5 | 25199 | 8 | 15398 | 5 |
| {85866A64-ACA7-143F-E053-6B04A8C06A15} | CO6 1TN | 138000 | F | N | L | 2019-02-21 00:00 | E01021377 | Braintree 014A | 23647 | 8 | 20705 | 7 | 18820 | 6 | 27648 | 9 | 26115 | 8 | 14542 | 5 |
| {85866A64-ACA9-143F-E053-6B04A8C06A15} | CO3 3AZ | 465000 | S | N | F | 2019-02-08 00:00 | E01021653 | Colchester 013C | 32188 | 10 | 31314 | 10 | 30533 | 10 | 30257 | 10 | 27899 | 9 | 32057 | 10 |
| {85866A64-ACAA-143F-E053-6B04A8C06A15} | SS7 5HJ | 340000 | S | N | F | 2019-02-22 00:00 | E01021524 | Castle Point 007E | 23277 | 8 | 19283 | 6 | 19957 | 7 | 15394 | 5 | 22022 | 7 | 14430 | 5 |
| {85866A64-ACAB-143F-E053-6B04A8C06A15} | CO15 2RQ | 150000 | D | N | F | 2019-02-01 00:00 | E01021990 | Tendring 018C | 1514 | 1 | 1637 | 1 | 1100 | 1 | 6831 | 3 | 1626 | 1 | 595 | 1 |
| {85866A64-ACAC-143F-E053-6B04A8C06A15} | CO2 7RU | 212500 | T | N | F | 2019-03-08 00:00 | E01021684 | Colchester 011B | 23032 | 8 | 17507 | 6 | 22837 | 7 | 17107 | 6 | 20487 | 7 | 22699 | 7 |
| {85866A64-ACAD-143F-E053-6B04A8C06A15} | CM2 9QX | 298000 | T | N | F | 2019-03-20 00:00 | E01021563 | Chelmsford 014B | 11098 | 4 | 10378 | 4 | 7605 | 3 | 10686 | 4 | 13558 | 5 | 13871 | 5 |
| {8CAC1318-B9FC-0253-E053-6B04A8C08E51} | S2 1WY | 110000 | T | N | F | 2019-06-10 00:00 | E01008015 | Sheffield 039D | 1162 | 1 | 2225 | 1 | 777 | 1 | 5453 | 2 | 1271 | 1 | 319 | 1 |
| {8CAC1318-B9FD-0253-E053-6B04A8C08E51} | S11 8AA | 164000 | F | N | L | 2019-04-12 00:00 | E01008109 | Sheffield 042B | 7254 | 3 | 6974 | 3 | 11841 | 4 | 3822 | 2 | 7524 | 3 | 9593 | 3 |
| {8CAC1318-B9FE-0253-E053-6B04A8C08E51} | DN3 1FE | 148500 | S | N | F | 2019-05-21 00:00 | E01007624 | Doncaster 007D | 28636 | 9 | 26447 | 9 | 24791 | 8 | 17650 | 6 | 23198 | 8 | 22191 | 7 |
| {8CAC1318-B9FF-0253-E053-6B04A8C08E51} | S66 3RY | 210000 | D | N | F | 2019-05-28 00:00 | E01032927 | Rotherham 012F | 13877 | 5 | 15947 | 5 | 11078 | 4 | 8977 | 3 | 6644 | 3 | 17831 | 6 |
| {8CAC1318-BA00-0253-E053-6B04A8C08E51} | S72 8WP | 100000 | S | N | F | 2019-05-24 00:00 | E01007331 | Barnsley 003B | 12603 | 4 | 13051 | 4 | 9288 | 3 | 7928 | 3 | 8500 | 3 | 9788 | 3 |
| {8CAC1318-BA01-0253-E053-6B04A8C08E51} | S9 4PR | 105000 | T | N | L | 2019-05-22 00:00 | E01007907 | Sheffield 032A | 9719 | 3 | 7658 | 3 | 10031 | 4 | 16490 | 6 | 12400 | 4 | 5428 | 2 |
| {8CAC1318-BA02-0253-E053-6B04A8C08E51} | S13 7DP | 64000 | F | N | L | 2019-06-10 00:00 | E01007970 | Sheffield 049D | 270 | 1 | 666 | 1 | 30 | 1 | 317 | 1 | 23 | 1 | 2506 | 1 |
| {8CAC1318-BA03-0253-E053-6B04A8C08E51} | S73 0DH | 66000 | F | N | L | 2019-03-15 00:00 | E01032925 | Barnsley 026G | 9285 | 3 | 10883 | 4 | 10686 | 4 | 14007 | 5 | 1648 | 1 | 5891 | 2 |
| {8CAC1318-BA04-0253-E053-6B04A8C08E51} | DN5 0RE | 75000 | T | N | F | 2019-06-12 00:00 | E01007511 | Doncaster 010E | 2201 | 1 | 1684 | 1 | 2923 | 1 | 1436 | 1 | 4410 | 2 | 874 | 1 |
| {8CAC1318-BA05-0253-E053-6B04A8C08E51} | S1 4EY | 135000 | F | N | L | 2019-05-17 00:00 | E01033265 | Sheffield 074C | 10947 | 4 | 24154 | 8 | 21735 | 7 | 698 | 1 | 8259 | 3 | 22355 | 7 |
| {8CAC1318-BA06-0253-E053-6B04A8C08E51} | DN4 7DQ | 92500 | F | N | L | 2019-01-25 00:00 | E01007527 | Doncaster 027B | 23327 | 8 | 25883 | 8 | 24165 | 8 | 12315 | 4 | 17405 | 6 | 26914 | 9 |
| {8CAC1318-BA07-0253-E053-6B04A8C08E51} | DN5 0EN | 120000 | S | N | F | 2019-04-29 00:00 | E01007508 | Doncaster 010B | 1508 | 1 | 1623 | 1 | 1786 | 1 | 451 | 1 | 4540 | 2 | 524 | 1 |
| {8CAC1318-BA08-0253-E053-6B04A8C08E51} | S70 6AX | 130000 | S | N | F | 2019-05-31 00:00 | E01007415 | Barnsley 013C | 7917 | 3 | 9785 | 3 | 7267 | 3 | 1395 | 1 | 4999 | 2 | 12003 | 4 |
| {8CAC1318-BA09-0253-E053-6B04A8C08E51} | S11 9PR | 367000 | T | N | L | 2019-04-25 00:00 | E01007928 | Sheffield 055B | 32441 | 10 | 31687 | 10 | 30841 | 10 | 28498 | 9 | 28998 | 9 | 32561 | 10 |
| {8CAC1318-BA0A-0253-E053-6B04A8C08E51} | S6 3RR | 194000 | S | N | F | 2019-06-06 00:00 | E01008155 | Sheffield 024D | 14859 | 5 | 12510 | 4 | 15996 | 5 | 16351 | 5 | 12525 | 4 | 10800 | 4 |
| {8CAC1318-BA0B-0253-E053-6B04A8C08E51} | S26 5QR | 185000 | T | N | F | 2019-06-11 00:00 | E01007751 | Rotherham 033C | 14770 | 5 | 14155 | 5 | 13200 | 5 | 8654 | 3 | 9243 | 3 | 14474 | 5 |
| {8CAC1318-BA0C-0253-E053-6B04A8C08E51} | DN9 3PL | 173000 | S | N | F | 2019-06-14 00:00 | E01007599 | Doncaster 026A | 23888 | 8 | 25776 | 8 | 21441 | 7 | 17061 | 6 | 18899 | 6 | 20689 | 7 |
| {8CAC1318-BA0D-0253-E053-6B04A8C08E51} | S11 9SF | 525000 | S | N | L | 2019-05-31 00:00 | E01007928 | Sheffield 055B | 32441 | 10 | 31687 | 10 | 30841 | 10 | 28498 | 9 | 28998 | 9 | 32561 | 10 |
| {8CAC1318-BA0E-0253-E053-6B04A8C08E51} | S6 4QB | 157000 | S | N | F | 2019-05-31 00:00 | E01007992 | Sheffield 021B | 21154 | 7 | 22066 | 7 | 21428 | 7 | 17295 | 6 | 11244 | 4 | 24459 | 8 |
| {8CAC1318-BA0F-0253-E053-6B04A8C08E51} | S64 9NA | 38000 | T | N | F | 2019-05-31 00:00 | E01007577 | Doncaster 031F | 249 | 1 | 883 | 1 | 482 | 1 | 520 | 1 | 312 | 1 | 202 | 1 |
| {8CAC1318-BA10-0253-E053-6B04A8C08E51} | S2 3HG | 157000 | T | N | F | 2019-05-17 00:00 | E01008101 | Sheffield 043D | 3673 | 2 | 3996 | 2 | 2831 | 1 | 4826 | 2 | 2277 | 1 | 5467 | 2 |
| {8CAC1318-BA11-0253-E053-6B04A8C08E51} | S35 2EP | 172500 | S | N | F | 2019-04-30 00:00 | E01007890 | Sheffield 004C | 25917 | 8 | 27762 | 9 | 24592 | 8 | 16163 | 5 | 16679 | 6 | 19287 | 6 |
| {8CAC1318-BA12-0253-E053-6B04A8C08E51} | S72 7LJ | 105000 | S | N | F | 2019-05-22 00:00 | E01007332 | Barnsley 006C | 2908 | 1 | 5847 | 2 | 3972 | 2 | 1931 | 1 | 414 | 1 | 1199 | 1 |
| {8CAC1318-BA13-0253-E053-6B04A8C08E51} | S10 1FG | 180000 | T | N | L | 2019-06-18 00:00 | E01007962 | Sheffield 029C | 19368 | 6 | 17242 | 6 | 19736 | 7 | 24797 | 8 | 6459 | 2 | 24004 | 8 |
| {8CAC1318-BA15-0253-E053-6B04A8C08E51} | S8 0SU | 138000 | F | N | L | 2019-05-03 00:00 | E01007829 | Sheffield 059B | 18870 | 6 | 19466 | 6 | 17093 | 6 | 11672 | 4 | 15393 | 5 | 23050 | 8 |
| {8CAC1318-BA17-0253-E053-6B04A8C08E51} | S62 6FL | 158000 | S | N | F | 2019-06-19 00:00 | E01007776 | Rotherham 008B | 7127 | 3 | 6142 | 2 | 6502 | 2 | 3723 | 2 | 5748 | 2 | 8077 | 3 |
| {8CAC1318-BA18-0253-E053-6B04A8C08E51} | S74 0LU | 159000 | T | N | F | 2019-06-17 00:00 | E01007457 | Barnsley 029E | 6545 | 2 | 7910 | 3 | 5813 | 2 | 5125 | 2 | 2107 | 1 | 5878 | 2 |
| {8CAC1318-BA19-0253-E053-6B04A8C08E51} | DN3 2FR | 145000 | S | N | F | 2019-05-24 00:00 | E01033259 | Doncaster 014E | 21123 | 7 | 21162 | 7 | 24460 | 8 | 11922 | 4 | 9475 | 3 | 18778 | 6 |
| {8CAC1318-BA1A-0253-E053-6B04A8C08E51} | S36 9QS | 300000 | D | N | F | 2019-06-17 00:00 | E01007427 | Barnsley 024A | 21458 | 7 | 18937 | 6 | 16294 | 5 | 27173 | 9 | 16746 | 6 | 17864 | 6 |
| {8CAC1318-BA1C-0253-E053-6B04A8C08E51} | S73 9HN | 168000 | S | N | F | 2019-05-31 00:00 | E01007351 | Barnsley 020D | 6896 | 3 | 9374 | 3 | 7348 | 3 | 2241 | 1 | 5363 | 2 | 3471 | 2 |
| {8CAC1318-BC26-0253-E053-6B04A8C08E51} | S75 1FE | 209950 | D | Y | F | 2019-05-17 00:00 | E01007381 | Barnsley 012C | 23905 | 8 | 22968 | 7 | 17514 | 6 | 23470 | 8 | 11876 | 4 | 22177 | 7 |
| {8CAC1318-BC27-0253-E053-6B04A8C08E51} | DN2 5SS | 105000 | S | N | F | 2019-05-31 00:00 | E01007650 | Doncaster 015B | 10921 | 4 | 12610 | 4 | 8547 | 3 | 8575 | 3 | 5628 | 2 | 10177 | 4 |
| {8CAC1318-BC28-0253-E053-6B04A8C08E51} | S74 9LS | 115000 | S | N | F | 2019-01-18 00:00 | E01007388 | Barnsley 029A | 16032 | 5 | 17787 | 6 | 12434 | 4 | 11469 | 4 | 7756 | 3 | 15568 | 5 |
| {8CAC1318-BC29-0253-E053-6B04A8C08E51} | DN6 0BF | 109995 | T | Y | F | 2019-04-30 00:00 | E01007489 | Doncaster 002C | 12952 | 4 | 11649 | 4 | 13976 | 5 | 15128 | 5 | 8240 | 3 | 7818 | 3 |
| {8CAC1318-BC2A-0253-E053-6B04A8C08E51} | S71 4GG | 219995 | D | Y | F | 2019-05-24 00:00 | E01007439 | Barnsley 001D | 20520 | 7 | 21928 | 7 | 15440 | 5 | 6266 | 2 | 17567 | 6 | 17401 | 6 |
| {8CAC1318-BC2C-0253-E053-6B04A8C08E51} | S2 4DD | 68750 | F | Y | L | 2019-05-22 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC2D-0253-E053-6B04A8C08E51} | S8 8NA | 217000 | S | Y | F | 2019-05-30 00:00 | E01007827 | Sheffield 064A | 22051 | 7 | 25854 | 8 | 21430 | 7 | 7499 | 3 | 15185 | 5 | 24825 | 8 |
| {8CAC1318-BC2E-0253-E053-6B04A8C08E51} | DN4 5EU | 75000 | T | N | F | 2019-05-17 00:00 | E01007644 | Doncaster 019A | 13814 | 5 | 16416 | 5 | 14453 | 5 | 3889 | 2 | 14541 | 5 | 10337 | 4 |
| {8CAC1318-BC2F-0253-E053-6B04A8C08E51} | S2 4DD | 75750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC30-0253-E053-6B04A8C08E51} | S10 2LW | 300000 | F | Y | L | 2019-05-16 00:00 | E01008104 | Sheffield 036E | 18528 | 6 | 17417 | 6 | 24903 | 8 | 13247 | 5 | 14188 | 5 | 18949 | 6 |
| {8CAC1318-BC31-0253-E053-6B04A8C08E51} | DN6 7FJ | 129995 | S | Y | F | 2019-05-30 00:00 | E01007466 | Doncaster 009C | 1164 | 1 | 1506 | 1 | 1436 | 1 | 322 | 1 | 3279 | 1 | 308 | 1 |
| {8CAC1318-BC32-0253-E053-6B04A8C08E51} | S2 4DD | 68500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC33-0253-E053-6B04A8C08E51} | S2 4DD | 72500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC35-0253-E053-6B04A8C08E51} | S2 4DD | 72500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC36-0253-E053-6B04A8C08E51} | S2 4DD | 72500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC37-0253-E053-6B04A8C08E51} | S2 4DD | 66500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC38-0253-E053-6B04A8C08E51} | S2 4DD | 71750 | F | Y | L | 2019-05-11 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC39-0253-E053-6B04A8C08E51} | S2 4DD | 66500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC3A-0253-E053-6B04A8C08E51} | S2 4DD | 66500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC3B-0253-E053-6B04A8C08E51} | S2 4FS | 69750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC3C-0253-E053-6B04A8C08E51} | S2 4DD | 67750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC3D-0253-E053-6B04A8C08E51} | S2 4DD | 67750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC3E-0253-E053-6B04A8C08E51} | S2 4DD | 67500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC3F-0253-E053-6B04A8C08E51} | S2 4DD | 71750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC40-0253-E053-6B04A8C08E51} | S2 4DD | 65500 | F | Y | L | 2019-05-11 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC41-0253-E053-6B04A8C08E51} | S2 4DD | 65500 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC42-0253-E053-6B04A8C08E51} | S2 4DD | 73750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC43-0253-E053-6B04A8C08E51} | S2 4DD | 75750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BC44-0253-E053-6B04A8C08E51} | S2 4DD | 71750 | F | Y | L | 2019-05-20 00:00 | E01033273 | Sheffield 042F | 12083 | 4 | 19521 | 6 | 28255 | 9 | 6888 | 3 | 9767 | 3 | 4021 | 2 |
| {8CAC1318-BE39-0253-E053-6B04A8C08E51} | SW12 0DT | 450000 | F | N | L | 2019-06-14 00:00 | E01004473 | Wandsworth 026A | 22310 | 7 | 19712 | 7 | 24163 | 8 | 14189 | 5 | 17465 | 6 | 32655 | 10 |
| {8CAC1318-BE3B-0253-E053-6B04A8C08E51} | SW16 2RJ | 300000 | F | N | L | 2019-05-31 00:00 | E01003154 | Lambeth 030E | 8914 | 3 | 6554 | 2 | 7553 | 3 | 15102 | 5 | 9763 | 3 | 18743 | 6 |
| {8CAC1318-BE3C-0253-E053-6B04A8C08E51} | SW12 9DS | 437000 | F | N | L | 2019-05-31 00:00 | E01004474 | Wandsworth 021B | 16534 | 6 | 15734 | 5 | 21772 | 7 | 7773 | 3 | 17721 | 6 | 22958 | 7 |
| {8CAC1318-BE3D-0253-E053-6B04A8C08E51} | SE18 6TJ | 452000 | F | N | L | 2019-06-11 00:00 | E01033736 | Greenwich 004H | 23883 | 8 | 32496 | 10 | 32745 | 10 | 7444 | 3 | 20960 | 7 | 24563 | 8 |
| {8CAC1318-BE3E-0253-E053-6B04A8C08E51} | SW12 9PL | 499999 | F | N | L | 2019-05-31 00:00 | E01004473 | Wandsworth 026A | 22310 | 7 | 19712 | 7 | 24163 | 8 | 14189 | 5 | 17465 | 6 | 32655 | 10 |
| {8CAC1318-BE3F-0253-E053-6B04A8C08E51} | SE18 3AT | 220000 | F | N | L | 2019-05-31 00:00 | E01001700 | Greenwich 011D | 7478 | 3 | 6462 | 2 | 10226 | 4 | 8491 | 3 | 11202 | 4 | 12202 | 4 |
| {8CAC1318-BE40-0253-E053-6B04A8C08E51} | SW12 0NU | 370000 | F | N | L | 2019-06-14 00:00 | E01003156 | Lambeth 023B | 15573 | 5 | 15120 | 5 | 17502 | 6 | 17108 | 6 | 9305 | 3 | 31009 | 10 |
| {8CAC1318-BE41-0253-E053-6B04A8C08E51} | SE5 0XH | 370000 | F | N | L | 2019-06-21 00:00 | E01003926 | Southwark 021F | 7330 | 3 | 5254 | 2 | 10527 | 4 | 6929 | 3 | 10582 | 4 | 18955 | 6 |
| {8CAC1318-BE42-0253-E053-6B04A8C08E51} | SE28 0NE | 425000 | T | N | F | 2019-06-07 00:00 | E01033740 | Greenwich 002F | 14071 | 5 | 10245 | 4 | 15436 | 5 | 7524 | 3 | 20561 | 7 | 26399 | 9 |
| {8CAC1318-BE44-0253-E053-6B04A8C08E51} | SW16 5BY | 405000 | F | N | L | 2019-04-29 00:00 | E01003145 | Lambeth 034D | 11635 | 4 | 15110 | 5 | 19155 | 6 | 7931 | 3 | 16040 | 5 | 21267 | 7 |
| {8CAC1318-BE45-0253-E053-6B04A8C08E51} | SE4 1HS | 470000 | F | N | F | 2019-04-23 00:00 | E01003275 | Lewisham 014C | 7727 | 3 | 5081 | 2 | 7066 | 3 | 21449 | 7 | 10199 | 4 | 16583 | 6 |
| {8CAC1318-BE46-0253-E053-6B04A8C08E51} | SE15 6HR | 260000 | F | N | L | 2019-04-12 00:00 | E01004012 | Southwark 019C | 9413 | 3 | 6942 | 3 | 10569 | 4 | 13684 | 5 | 15887 | 5 | 21252 | 7 |
| {8CAC1318-BE47-0253-E053-6B04A8C08E51} | SE17 2RB | 310000 | F | N | L | 2019-06-07 00:00 | E01003964 | Southwark 015A | 5759 | 2 | 7268 | 3 | 8021 | 3 | 1587 | 1 | 15704 | 5 | 15091 | 5 |
| {8CAC1318-BE48-0253-E053-6B04A8C08E51} | SE18 6JG | 200000 | F | N | L | 2019-04-25 00:00 | E01033735 | Greenwich 004G | 9152 | 3 | 11023 | 4 | 18556 | 6 | 2385 | 1 | 10493 | 4 | 20804 | 7 |
| {8CAC1318-BE49-0253-E053-6B04A8C08E51} | SE22 8BZ | 353000 | F | N | L | 2019-05-20 00:00 | E01004045 | Southwark 027A | 9397 | 3 | 5685 | 2 | 7497 | 3 | 24340 | 8 | 14852 | 5 | 18230 | 6 |
| {8CAC1318-BE4A-0253-E053-6B04A8C08E51} | SE5 7GD | 190000 | F | N | L | 2019-06-06 00:00 | E01003916 | Southwark 020B | 10919 | 4 | 9217 | 3 | 15610 | 5 | 8197 | 3 | 15830 | 5 | 24176 | 8 |
| {8CAC1318-BE4C-0253-E053-6B04A8C08E51} | TW1 4NF | 652000 | T | N | F | 2019-06-20 00:00 | E01003884 | Richmond upon Thames 016C | 29942 | 10 | 27722 | 9 | 27198 | 9 | 15378 | 5 | 31317 | 10 | 32604 | 10 |
| {8CAC1318-BE4D-0253-E053-6B04A8C08E51} | SE19 1LS | 397500 | F | N | L | 2019-05-24 00:00 | E01003948 | Southwark 033D | 16743 | 6 | 16049 | 5 | 18666 | 6 | 7249 | 3 | 18374 | 6 | 31477 | 10 |
| {8CAC1318-BE4E-0253-E053-6B04A8C08E51} | SE28 0GJ | 241000 | F | N | L | 2019-06-06 00:00 | E01033742 | Greenwich 007F | 20945 | 7 | 19844 | 7 | 27920 | 9 | 19491 | 6 | 22041 | 7 | 24139 | 8 |
| {8CAC1318-BE4F-0253-E053-6B04A8C08E51} | SW15 2SR | 440000 | F | N | L | 2019-05-31 00:00 | E01004507 | Wandsworth 014E | 26239 | 8 | 22845 | 7 | 30249 | 10 | 26781 | 9 | 30369 | 10 | 27933 | 9 |
| {8CAC1318-BE50-0253-E053-6B04A8C08E51} | SE1 3BP | 700000 | F | N | L | 2019-05-29 00:00 | E01032803 | Southwark 003J | 17880 | 6 | 18347 | 6 | 28160 | 9 | 17793 | 6 | 11084 | 4 | 30293 | 10 |
| {8CAC1318-BE51-0253-E053-6B04A8C08E51} | SE12 8JP | 375000 | F | N | L | 2019-06-07 00:00 | E01001658 | Greenwich 034C | 15955 | 5 | 12696 | 4 | 18519 | 6 | 14592 | 5 | 23354 | 8 | 22262 | 7 |
| {8CAC1318-BE52-0253-E053-6B04A8C08E51} | SE9 3NZ | 350000 | T | N | F | 2019-04-10 00:00 | E01001596 | Greenwich 032A | 25312 | 8 | 24812 | 8 | 23260 | 8 | 20000 | 7 | 24571 | 8 | 19475 | 6 |
| {8CAC1318-BE53-0253-E053-6B04A8C08E51} | SE2 9NU | 230000 | F | N | L | 2019-06-14 00:00 | E01001578 | Greenwich 003D | 9697 | 3 | 7328 | 3 | 10349 | 4 | 6101 | 2 | 18493 | 6 | 13609 | 5 |
| {8CAC1318-BE54-0253-E053-6B04A8C08E51} | TW12 1DW | 615000 | S | N | F | 2019-05-08 00:00 | E01003813 | Richmond upon Thames 019B | 30765 | 10 | 30944 | 10 | 26966 | 9 | 22208 | 7 | 31051 | 10 | 32705 | 10 |
| {8CAC1318-BE56-0253-E053-6B04A8C08E51} | TW2 5BE | 459950 | F | N | L | 2019-06-17 00:00 | E01003898 | Richmond upon Thames 015A | 27203 | 9 | 22641 | 7 | 27077 | 9 | 16846 | 6 | 28787 | 9 | 32000 | 10 |
| {8CAC1318-BE57-0253-E053-6B04A8C08E51} | SE22 8QP | 875000 | T | N | F | 2019-06-20 00:00 | E01004072 | Southwark 030E | 25533 | 8 | 26019 | 8 | 26939 | 9 | 12498 | 4 | 28838 | 9 | 31643 | 10 |
| {8CAC1318-BE58-0253-E053-6B04A8C08E51} | SE28 0LU | 255000 | F | N | L | 2019-05-10 00:00 | E01033739 | Greenwich 002E | 15162 | 5 | 11720 | 4 | 21087 | 7 | 18894 | 6 | 19522 | 6 | 25501 | 8 |
| {8CAC1318-BE59-0253-E053-6B04A8C08E51} | SE18 5EL | 200000 | F | N | L | 2019-05-29 00:00 | E01001710 | Greenwich 005D | 6464 | 2 | 3640 | 2 | 4850 | 2 | 16633 | 6 | 10463 | 4 | 9849 | 3 |
| {8CAC1318-C051-0253-E053-6B04A8C08E51} | SE3 0TG | 487350 | F | N | L | 2019-06-05 00:00 | E01003200 | Lewisham 009B | 22667 | 7 | 27917 | 9 | 31167 | 10 | 7037 | 3 | 27269 | 9 | 31772 | 10 |
| {8CAC1318-C052-0253-E053-6B04A8C08E51} | E16 2SG | 519000 | F | N | L | 2019-04-26 00:00 | E01033577 | Newham 037E | 15262 | 5 | 14172 | 5 | 22784 | 7 | 19262 | 6 | 21403 | 7 | 19376 | 6 |
| {8CAC1318-C054-0253-E053-6B04A8C08E51} | SW17 8AU | 700000 | F | N | L | 2019-05-07 00:00 | E01004481 | Wandsworth 029A | 18761 | 6 | 17594 | 6 | 21179 | 7 | 11613 | 4 | 17340 | 6 | 31137 | 10 |
| {8CAC1318-C055-0253-E053-6B04A8C08E51} | E16 2PT | 714000 | F | N | L | 2019-05-24 00:00 | E01033577 | Newham 037E | 15262 | 5 | 14172 | 5 | 22784 | 7 | 19262 | 6 | 21403 | 7 | 19376 | 6 |
| {8CAC1318-C056-0253-E053-6B04A8C08E51} | E16 2JW | 499000 | F | N | L | 2019-06-07 00:00 | E01033577 | Newham 037E | 15262 | 5 | 14172 | 5 | 22784 | 7 | 19262 | 6 | 21403 | 7 | 19376 | 6 |
| {8CAC1318-C057-0253-E053-6B04A8C08E51} | SE22 9EA | 485000 | F | N | L | 2019-04-26 00:00 | E01003955 | Southwark 028B | 15889 | 5 | 15398 | 5 | 14737 | 5 | 16291 | 5 | 11223 | 4 | 27367 | 9 |
| {8A78B2B0-1D2B-5CB0-E053-6B04A8C0F504} | NE38 8HN | 80000 | T | N | F | 2019-05-03 00:00 | E01008847 | Sunderland 017C | 3112 | 1 | 2660 | 1 | 2747 | 1 | 17269 | 6 | 1907 | 1 | 1682 | 1 |
| {8A78B2B0-1D2C-5CB0-E053-6B04A8C0F504} | NE39 2LH | 88000 | T | N | F | 2019-03-22 00:00 | E01008183 | Gateshead 024A | 7454 | 3 | 7102 | 3 | 7266 | 3 | 4059 | 2 | 5275 | 2 | 8249 | 3 |
| {8A78B2B0-1D2D-5CB0-E053-6B04A8C0F504} | NE11 9FG | 75500 | F | N | L | 2019-02-08 00:00 | E01008209 | Gateshead 007A | 10554 | 4 | 8846 | 3 | 8960 | 3 | 22247 | 7 | 2817 | 1 | 11829 | 4 |
| {8A78B2B0-1D2E-5CB0-E053-6B04A8C0F504} | NE28 7JP | 92500 | F | N | L | 2019-03-29 00:00 | E01008576 | North Tyneside 029D | 6765 | 3 | 4703 | 2 | 5817 | 2 | 11003 | 4 | 6336 | 2 | 8792 | 3 |
| {8A78B2B0-1D2F-5CB0-E053-6B04A8C0F504} | NE29 7AE | 72000 | F | N | L | 2019-04-29 00:00 | E01008484 | North Tyneside 023C | 2439 | 1 | 1829 | 1 | 1437 | 1 | 8523 | 3 | 2768 | 1 | 2560 | 1 |
| {8A78B2B0-1D30-5CB0-E053-6B04A8C0F504} | NE29 7AH | 50000 | F | N | L | 2019-05-10 00:00 | E01008484 | North Tyneside 023C | 2439 | 1 | 1829 | 1 | 1437 | 1 | 8523 | 3 | 2768 | 1 | 2560 | 1 |
| {8A78B2B0-1D32-5CB0-E053-6B04A8C0F504} | DH4 6HX | 61500 | S | N | F | 2019-05-07 00:00 | E01008752 | Sunderland 033C | 5147 | 2 | 4580 | 2 | 3126 | 1 | 8487 | 3 | 5007 | 2 | 3115 | 1 |
| {8A78B2B0-1D33-5CB0-E053-6B04A8C0F504} | NE31 1HZ | 140000 | S | N | F | 2019-04-09 00:00 | E01008652 | South Tyneside 009B | 2699 | 1 | 3302 | 2 | 2176 | 1 | 4111 | 2 | 355 | 1 | 5663 | 2 |
| {8A78B2B0-1D34-5CB0-E053-6B04A8C0F504} | NE29 6TP | 113200 | T | N | F | 2019-05-10 00:00 | E01008544 | North Tyneside 027D | 864 | 1 | 673 | 1 | 426 | 1 | 494 | 1 | 1323 | 1 | 6646 | 3 |
| {8A78B2B0-1D35-5CB0-E053-6B04A8C0F504} | NE27 0DG | 127000 | S | N | F | 2019-05-10 00:00 | E01008501 | North Tyneside 018D | 25440 | 8 | 25168 | 8 | 23644 | 8 | 18855 | 6 | 16062 | 5 | 25346 | 8 |
| {8A78B2B0-1D36-5CB0-E053-6B04A8C0F504} | DH4 7TZ | 300000 | D | N | F | 2019-05-17 00:00 | E01008797 | Sunderland 030C | 22701 | 7 | 24811 | 8 | 16513 | 6 | 16838 | 6 | 14536 | 5 | 26073 | 8 |
| {8A78B2B0-1D37-5CB0-E053-6B04A8C0F504} | NE28 7JS | 270000 | D | N | F | 2019-04-26 00:00 | E01008576 | North Tyneside 029D | 6765 | 3 | 4703 | 2 | 5817 | 2 | 11003 | 4 | 6336 | 2 | 8792 | 3 |
| {8A78B2B0-1D38-5CB0-E053-6B04A8C0F504} | NE6 5DT | 117000 | F | N | L | 2019-04-18 00:00 | E01008360 | Newcastle upon Tyne 018C | 21835 | 7 | 19647 | 6 | 23505 | 8 | 17739 | 6 | 6063 | 2 | 31157 | 10 |
| {8A78B2B0-1D39-5CB0-E053-6B04A8C0F504} | NE32 4SF | 90000 | S | N | F | 2019-05-03 00:00 | E01008632 | South Tyneside 017B | 5825 | 2 | 4516 | 2 | 3525 | 2 | 12913 | 4 | 3144 | 1 | 7375 | 3 |
| {8A78B2B0-1D3A-5CB0-E053-6B04A8C0F504} | NE2 2BP | 156000 | F | N | L | 2019-04-18 00:00 | E01008369 | Newcastle upon Tyne 013B | 26386 | 9 | 31641 | 10 | 31416 | 10 | 12300 | 4 | 9730 | 3 | 30308 | 10 |
| {8A78B2B0-1D3B-5CB0-E053-6B04A8C0F504} | NE16 5BE | 245000 | T | N | L | 2019-04-25 00:00 | E01008275 | Gateshead 017E | 29115 | 9 | 32472 | 10 | 28981 | 9 | 30642 | 10 | 14495 | 5 | 29569 | 10 |
| {8A78B2B0-1D3C-5CB0-E053-6B04A8C0F504} | NE15 7TL | 148000 | S | N | F | 2019-03-22 00:00 | E01008416 | Newcastle upon Tyne 025C | 14353 | 5 | 13712 | 5 | 12346 | 4 | 4344 | 2 | 13161 | 5 | 15580 | 5 |
| {8A78B2B0-1D3D-5CB0-E053-6B04A8C0F504} | NE3 1BQ | 432500 | T | N | F | 2019-05-06 00:00 | E01008418 | Newcastle upon Tyne 005C | 30892 | 10 | 32655 | 10 | 31897 | 10 | 11710 | 4 | 30418 | 10 | 32822 | 10 |
| {8A78B2B0-1D3E-5CB0-E053-6B04A8C0F504} | NE9 6PW | 99950 | T | N | F | 2019-04-30 00:00 | E01008189 | Gateshead 023A | 2552 | 1 | 3212 | 1 | 1959 | 1 | 5968 | 2 | 1293 | 1 | 4664 | 2 |
| {8A78B2B0-1D3F-5CB0-E053-6B04A8C0F504} | DH5 9BE | 142000 | D | N | F | 2019-05-09 00:00 | E01008748 | Sunderland 035E | 6931 | 3 | 8458 | 3 | 3256 | 1 | 5860 | 2 | 5051 | 2 | 11672 | 4 |
| {8A78B2B0-1D40-5CB0-E053-6B04A8C0F504} | NE29 7HL | 115950 | T | N | F | 2019-05-17 00:00 | E01008482 | North Tyneside 023B | 2392 | 1 | 2447 | 1 | 1366 | 1 | 5692 | 2 | 1250 | 1 | 3647 | 2 |
| {8A78B2B0-1D41-5CB0-E053-6B04A8C0F504} | NE34 8LS | 88000 | T | N | F | 2019-04-29 00:00 | E01008692 | South Tyneside 019E | 5943 | 2 | 5848 | 2 | 3778 | 2 | 13531 | 5 | 3526 | 2 | 5677 | 2 |
| {8A78B2B0-1D42-5CB0-E053-6B04A8C0F504} | NE29 7DY | 80000 | F | N | L | 2019-04-26 00:00 | E01008492 | North Tyneside 023E | 4998 | 2 | 3881 | 2 | 3373 | 2 | 3896 | 2 | 7081 | 3 | 5154 | 2 |
| {8A78B2B0-1D43-5CB0-E053-6B04A8C0F504} | NE9 5HJ | 246000 | S | N | F | 2019-04-26 00:00 | E01008237 | Gateshead 016D | 30305 | 10 | 31400 | 10 | 26733 | 9 | 17930 | 6 | 18290 | 6 | 31122 | 10 |
| {8A78B2B0-1D44-5CB0-E053-6B04A8C0F504} | SR2 9HZ | 235000 | D | N | L | 2019-04-30 00:00 | E01008780 | Sunderland 024D | 6349 | 2 | 5078 | 2 | 3124 | 1 | 14797 | 5 | 2750 | 1 | 13105 | 4 |
| {8A78B2B0-1D45-5CB0-E053-6B04A8C0F504} | NE28 8QQ | 83000 | F | N | L | 2019-04-12 00:00 | E01008535 | North Tyneside 030B | 13384 | 5 | 13824 | 5 | 10136 | 4 | 2463 | 1 | 13346 | 5 | 15684 | 5 |
| {8A78B2B0-1D46-5CB0-E053-6B04A8C0F504} | NE17 7JL | 52000 | T | N | F | 2019-04-17 00:00 | E01008186 | Gateshead 024B | 3479 | 2 | 2912 | 1 | 1340 | 1 | 7717 | 3 | 3478 | 2 | 6437 | 2 |
| {8A78B2B0-1D47-5CB0-E053-6B04A8C0F504} | NE27 0AY | 95000 | S | N | F | 2019-05-21 00:00 | E01008565 | North Tyneside 007C | 14346 | 5 | 13958 | 5 | 14343 | 5 | 9036 | 3 | 13334 | 5 | 15383 | 5 |
| {8A78B2B0-1D48-5CB0-E053-6B04A8C0F504} | DH4 5AG | 94000 | T | N | F | 2019-04-18 00:00 | E01008754 | Sunderland 034F | 5325 | 2 | 5630 | 2 | 2980 | 1 | 3249 | 1 | 3023 | 1 | 8989 | 3 |
| {8A78B2B0-1D49-5CB0-E053-6B04A8C0F504} | NE16 4BT | 246000 | D | N | F | 2019-05-17 00:00 | E01008264 | Gateshead 009C | 30610 | 10 | 29220 | 9 | 25112 | 8 | 24455 | 8 | 19974 | 7 | 30201 | 10 |
| {8A78B2B0-1D4A-5CB0-E053-6B04A8C0F504} | NE16 3DF | 80000 | F | N | L | 2019-03-29 00:00 | E01008262 | Gateshead 009A | 7898 | 3 | 6646 | 3 | 4935 | 2 | 19708 | 7 | 2899 | 1 | 11479 | 4 |
| {8A78B2B0-1D4B-5CB0-E053-6B04A8C0F504} | NE5 1DY | 131000 | S | N | L | 2019-05-10 00:00 | E01008328 | Newcastle upon Tyne 015E | 24916 | 8 | 28122 | 9 | 18044 | 6 | 16170 | 5 | 13790 | 5 | 23105 | 8 |
| {8A78B2B0-1F6F-5CB0-E053-6B04A8C0F504} | NE3 2XG | 160000 | S | N | F | 2019-04-30 00:00 | E01008312 | Newcastle upon Tyne 001F | 26094 | 8 | 23266 | 8 | 22203 | 7 | 16331 | 5 | 18268 | 6 | 26378 | 9 |
| {8A78B2B0-1F70-5CB0-E053-6B04A8C0F504} | NE3 3UL | 363500 | S | N | F | 2019-04-29 00:00 | E01008421 | Newcastle upon Tyne 006F | 31549 | 10 | 28924 | 9 | 28612 | 9 | 25695 | 8 | 23222 | 8 | 32739 | 10 |
| {8A78B2B0-1F71-5CB0-E053-6B04A8C0F504} | NE15 7SJ | 196000 | T | N | F | 2019-05-13 00:00 | E01008386 | Newcastle upon Tyne 021F | 14193 | 5 | 11613 | 4 | 10599 | 4 | 22879 | 7 | 9862 | 4 | 10282 | 4 |
| {8A78B2B0-1F72-5CB0-E053-6B04A8C0F504} | NE2 2SP | 585000 | T | N | F | 2019-04-12 00:00 | E01008369 | Newcastle upon Tyne 013B | 26386 | 9 | 31641 | 10 | 31416 | 10 | 12300 | 4 | 9730 | 3 | 30308 | 10 |
| {8A78B2B0-1F73-5CB0-E053-6B04A8C0F504} | SR4 0ND | 80000 | S | N | F | 2019-05-17 00:00 | E01008811 | Sunderland 014B | 13209 | 5 | 11249 | 4 | 9865 | 4 | 13143 | 5 | 6425 | 2 | 12363 | 4 |
| {8A78B2B0-1F74-5CB0-E053-6B04A8C0F504} | NE3 2FF | 126000 | T | N | L | 2019-04-26 00:00 | E01008294 | Newcastle upon Tyne 001A | 26280 | 9 | 22386 | 7 | 23326 | 8 | 24691 | 8 | 16777 | 6 | 24384 | 8 |
| {8A78B2B0-1F75-5CB0-E053-6B04A8C0F504} | DH4 4TS | 90000 | T | N | F | 2019-04-05 00:00 | E01008796 | Sunderland 032D | 12257 | 4 | 10743 | 4 | 10381 | 4 | 5655 | 2 | 8713 | 3 | 11229 | 4 |
| {8A78B2B0-1F76-5CB0-E053-6B04A8C0F504} | NE30 3ET | 289950 | S | N | F | 2019-04-18 00:00 | E01008497 | North Tyneside 010C | 32185 | 10 | 32187 | 10 | 29672 | 10 | 22973 | 7 | 21059 | 7 | 30504 | 10 |
| {8A78B2B0-1F77-5CB0-E053-6B04A8C0F504} | NE15 6TN | 132000 | S | N | F | 2019-02-27 00:00 | E01033547 | Newcastle upon Tyne 025E | 649 | 1 | 633 | 1 | 797 | 1 | 3855 | 2 | 1428 | 1 | 206 | 1 |
| {8A78B2B0-1F78-5CB0-E053-6B04A8C0F504} | NE32 3TW | 110000 | T | N | F | 2019-04-18 00:00 | E01008600 | South Tyneside 007A | 1089 | 1 | 581 | 1 | 934 | 1 | 5455 | 2 | 1679 | 1 | 998 | 1 |
| {8A78B2B0-1F79-5CB0-E053-6B04A8C0F504} | NE27 0ED | 83000 | T | N | F | 2019-04-26 00:00 | E01008570 | North Tyneside 011D | 21743 | 7 | 18979 | 6 | 22397 | 7 | 31212 | 10 | 13089 | 4 | 14898 | 5 |
| {8A78B2B0-1F7A-5CB0-E053-6B04A8C0F504} | NE16 5QJ | 167500 | S | N | F | 2019-04-15 00:00 | E01008270 | Gateshead 017C | 30235 | 10 | 29722 | 10 | 25673 | 8 | 26213 | 8 | 15693 | 5 | 28485 | 9 |
| {8A78B2B0-1F7B-5CB0-E053-6B04A8C0F504} | NE28 9XZ | 187000 | D | N | L | 2019-04-26 00:00 | E01008466 | North Tyneside 021B | 29577 | 10 | 30492 | 10 | 25634 | 8 | 28183 | 9 | 18571 | 6 | 28298 | 9 |
| {8A78B2B0-1F7C-5CB0-E053-6B04A8C0F504} | NE15 8DQ | 93500 | T | N | F | 2019-04-18 00:00 | E01008385 | Newcastle upon Tyne 021E | 3138 | 1 | 3851 | 2 | 3906 | 2 | 560 | 1 | 2673 | 1 | 3459 | 2 |
| {8A78B2B0-1F7D-5CB0-E053-6B04A8C0F504} | NE40 3DH | 150000 | T | N | F | 2019-05-17 00:00 | E01008249 | Gateshead 001D | 22421 | 7 | 21737 | 7 | 16643 | 6 | 14894 | 5 | 10709 | 4 | 26831 | 9 |
| {8A78B2B0-1F7E-5CB0-E053-6B04A8C0F504} | NE38 0LT | 93000 | T | N | F | 2019-05-10 00:00 | E01008868 | Sunderland 020B | 25948 | 8 | 23825 | 8 | 24086 | 8 | 26873 | 9 | 18743 | 6 | 20407 | 7 |
| {8A78B2B0-1F7F-5CB0-E053-6B04A8C0F504} | SR2 8JJ | 40000 | T | N | F | 2019-04-12 00:00 | E01008737 | Sunderland 016D | 810 | 1 | 687 | 1 | 393 | 1 | 114 | 1 | 1011 | 1 | 7618 | 3 |
| {8A78B2B0-1F80-5CB0-E053-6B04A8C0F504} | NE28 8TE | 129950 | S | N | L | 2019-04-18 00:00 | E01008534 | North Tyneside 025C | 21442 | 7 | 20343 | 7 | 17266 | 6 | 25474 | 8 | 14894 | 5 | 21449 | 7 |
| {8A78B2B0-1F81-5CB0-E053-6B04A8C0F504} | NE34 0SF | 202000 | T | N | F | 2019-04-30 00:00 | E01008673 | South Tyneside 003A | 26235 | 8 | 26625 | 9 | 19600 | 6 | 20477 | 7 | 14037 | 5 | 29567 | 10 |
| {8A78B2B0-1F82-5CB0-E053-6B04A8C0F504} | SR4 8BG | 113000 | T | N | F | 2019-05-03 00:00 | E01008813 | Sunderland 014C | 3778 | 2 | 3774 | 2 | 2502 | 1 | 6278 | 2 | 2118 | 1 | 3226 | 1 |
| {8A78B2B0-1F83-5CB0-E053-6B04A8C0F504} | NE37 2ND | 146000 | S | N | F | 2019-04-26 00:00 | E01008856 | Sunderland 007B | 19409 | 6 | 19592 | 6 | 12317 | 4 | 29075 | 9 | 8827 | 3 | 20279 | 7 |
| {8A78B2B0-1F85-5CB0-E053-6B04A8C0F504} | SR2 9DQ | 154000 | S | N | L | 2019-05-22 00:00 | E01008780 | Sunderland 024D | 6349 | 2 | 5078 | 2 | 3124 | 1 | 14797 | 5 | 2750 | 1 | 13105 | 4 |
| {8A78B2B0-1F86-5CB0-E053-6B04A8C0F504} | NE33 4RJ | 85000 | T | N | F | 2019-05-02 00:00 | E01008590 | South Tyneside 011A | 2677 | 1 | 2760 | 1 | 1413 | 1 | 738 | 1 | 2923 | 1 | 7272 | 3 |
| {8A78B2B0-1F87-5CB0-E053-6B04A8C0F504} | NE6 5UE | 179500 | S | N | F | 2019-04-26 00:00 | E01008363 | Newcastle upon Tyne 012E | 24663 | 8 | 23144 | 8 | 20204 | 7 | 22518 | 7 | 13165 | 5 | 27260 | 9 |
| {8A78B2B0-1F88-5CB0-E053-6B04A8C0F504} | NE38 8RX | 257000 | D | N | F | 2019-04-05 00:00 | E01008861 | Sunderland 025B | 13353 | 5 | 12000 | 4 | 7852 | 3 | 23348 | 8 | 10947 | 4 | 11950 | 4 |
| {8A78B2B0-1F89-5CB0-E053-6B04A8C0F504} | SR4 7RX | 149950 | T | N | F | 2019-05-16 00:00 | E01008760 | Sunderland 018A | 23330 | 8 | 21983 | 7 | 20471 | 7 | 15105 | 5 | 11527 | 4 | 23999 | 8 |
| {8A78B2B0-1F8A-5CB0-E053-6B04A8C0F504} | SR4 7LY | 30000 | T | N | L | 2019-05-10 00:00 | E01008832 | Sunderland 018C | 11344 | 4 | 10973 | 4 | 11282 | 4 | 4972 | 2 | 7077 | 3 | 11199 | 4 |
| {8A78B2B0-1F8B-5CB0-E053-6B04A8C0F504} | NE38 7HF | 119950 | S | N | F | 2019-04-26 00:00 | E01008848 | Sunderland 019C | 17790 | 6 | 19478 | 6 | 12431 | 4 | 11541 | 4 | 14916 | 5 | 18038 | 6 |
| {8A78B2B0-1F8C-5CB0-E053-6B04A8C0F504} | NE34 9HB | 185000 | D | N | F | 2019-04-24 00:00 | E01008605 | South Tyneside 016B | 9344 | 3 | 8293 | 3 | 6943 | 3 | 7357 | 3 | 6912 | 3 | 10222 | 4 |
| {8A78B2B0-1F8D-5CB0-E053-6B04A8C0F504} | NE33 3AG | 85000 | S | N | F | 2019-03-12 00:00 | E01008676 | South Tyneside 003C | 10251 | 4 | 8792 | 3 | 7519 | 3 | 9146 | 3 | 4510 | 2 | 15023 | 5 |
| {8A78B2B0-1F8E-5CB0-E053-6B04A8C0F504} | NE5 5JU | 129000 | S | N | F | 2019-04-25 00:00 | E01008441 | Newcastle upon Tyne 031A | 5826 | 2 | 5753 | 2 | 4187 | 2 | 10622 | 4 | 2386 | 1 | 7088 | 3 |
| {8A78B2B0-1F8F-5CB0-E053-6B04A8C0F504} | NE13 6HJ | 97000 | S | N | F | 2019-04-30 00:00 | E01008582 | North Tyneside 004E | 13897 | 5 | 10348 | 4 | 12301 | 4 | 15610 | 5 | 12451 | 4 | 9165 | 3 |
| {8A78B2B0-1F90-5CB0-E053-6B04A8C0F504} | SR6 7DT | 122000 | S | N | F | 2019-05-17 00:00 | E01008687 | South Tyneside 018E | 16700 | 6 | 10383 | 4 | 8523 | 3 | 26470 | 9 | 14872 | 5 | 20076 | 7 |
| {85866A64-ACAE-143F-E053-6B04A8C06A15} | SS8 0HF | 357500 | D | N | F | 2019-02-19 00:00 | E01021501 | Castle Point 011D | 14681 | 5 | 12209 | 4 | 12794 | 4 | 20250 | 7 | 15058 | 5 | 7418 | 3 |
| {85866A64-ACAF-143F-E053-6B04A8C06A15} | CM4 9AG | 498000 | D | N | F | 2019-03-08 00:00 | E01021459 | Brentwood 002C | 32201 | 10 | 31920 | 10 | 30181 | 10 | 18542 | 6 | 31865 | 10 | 30219 | 10 |
| {85866A64-ACB0-143F-E053-6B04A8C06A15} | CM1 2RL | 190000 | F | N | L | 2019-02-15 00:00 | E01033138 | Chelmsford 009F | 27058 | 9 | 24682 | 8 | 25781 | 8 | 16392 | 5 | 25995 | 8 | 24558 | 8 |
| {85866A64-ACB2-143F-E053-6B04A8C06A15} | CM18 7RN | 140000 | F | N | L | 2019-03-13 00:00 | E01021859 | Harlow 010C | 8483 | 3 | 6988 | 3 | 7551 | 3 | 7730 | 3 | 10544 | 4 | 5476 | 2 |
| {85866A64-ACB3-143F-E053-6B04A8C06A15} | CM17 0HR | 345000 | T | N | F | 2019-03-19 00:00 | E01021854 | Harlow 001A | 16040 | 5 | 15503 | 5 | 14436 | 5 | 10355 | 4 | 11724 | 4 | 12800 | 4 |
| {85866A64-ACB6-143F-E053-6B04A8C06A15} | CB11 4PF | 200000 | S | N | F | 2019-02-27 00:00 | E01022061 | Uttlesford 003A | 29300 | 9 | 29397 | 9 | 32263 | 10 | 25259 | 8 | 32651 | 10 | 29587 | 10 |
| {85866A64-ACB7-143F-E053-6B04A8C06A15} | RM3 0SL | 390000 | T | N | F | 2019-03-19 00:00 | E01002298 | Havering 007D | 22608 | 7 | 18694 | 6 | 20816 | 7 | 18788 | 6 | 26407 | 9 | 17385 | 6 |
| {85866A64-ACB8-143F-E053-6B04A8C06A15} | CO15 1BP | 169000 | T | N | F | 2019-02-08 00:00 | E01022036 | Tendring 017C | 10441 | 4 | 13918 | 5 | 12175 | 4 | 5246 | 2 | 9941 | 4 | 6681 | 3 |
| {85866A64-ACB9-143F-E053-6B04A8C06A15} | SS9 5RY | 350000 | D | N | F | 2019-02-28 00:00 | E01015833 | Southend-on-Sea 001A | 28336 | 9 | 25242 | 8 | 24389 | 8 | 27372 | 9 | 21716 | 7 | 18613 | 6 |
| {85866A64-ACBB-143F-E053-6B04A8C06A15} | SS8 9EA | 220000 | D | N | F | 2019-02-22 00:00 | E01021484 | Castle Point 011A | 14562 | 5 | 14943 | 5 | 12297 | 4 | 11254 | 4 | 20691 | 7 | 5025 | 2 |
| {85866A64-ACBC-143F-E053-6B04A8C06A15} | CM6 2NE | 780000 | D | N | F | 2019-02-21 00:00 | E01022092 | Uttlesford 004A | 25008 | 8 | 28509 | 9 | 26463 | 9 | 25527 | 8 | 31322 | 10 | 21542 | 7 |
| {85866A64-ACBE-143F-E053-6B04A8C06A15} | SS11 7EF | 365950 | T | N | F | 2019-03-11 00:00 | E01021334 | Basildon 005A | 21388 | 7 | 20964 | 7 | 18908 | 6 | 12047 | 4 | 19484 | 6 | 14391 | 5 |
| {85866A64-ACC1-143F-E053-6B04A8C06A15} | CO4 9UN | 665995 | D | N | F | 2019-03-11 00:00 | E01021671 | Colchester 002D | 22155 | 7 | 19436 | 6 | 15416 | 5 | 23811 | 8 | 14026 | 5 | 27648 | 9 |
| {85866A64-ACC2-143F-E053-6B04A8C06A15} | CO15 2RZ | 70000 | D | N | F | 2019-02-18 00:00 | E01021990 | Tendring 018C | 1514 | 1 | 1637 | 1 | 1100 | 1 | 6831 | 3 | 1626 | 1 | 595 | 1 |
| {85866A64-ACC3-143F-E053-6B04A8C06A15} | SS4 3HX | 255000 | S | N | F | 2019-02-25 00:00 | E01021929 | Rochford 002D | 32073 | 10 | 30772 | 10 | 28278 | 9 | 29962 | 10 | 31121 | 10 | 23829 | 8 |
| {85866A64-ACC4-143F-E053-6B04A8C06A15} | SS13 1RT | 280000 | T | N | F | 2019-02-22 00:00 | E01021308 | Basildon 011D | 16676 | 6 | 19383 | 6 | 19510 | 6 | 9418 | 3 | 17374 | 6 | 6538 | 2 |
| {85866A64-ACC5-143F-E053-6B04A8C06A15} | CM2 6XD | 210000 | F | N | L | 2019-02-14 00:00 | E01021547 | Chelmsford 008D | 25778 | 8 | 25894 | 8 | 28741 | 9 | 20458 | 7 | 30373 | 10 | 26522 | 9 |
| {85866A64-ACC6-143F-E053-6B04A8C06A15} | CO1 2BL | 200000 | T | N | F | 2019-03-08 00:00 | E01021686 | Colchester 011D | 5142 | 2 | 4162 | 2 | 6526 | 2 | 5571 | 2 | 5536 | 2 | 10119 | 4 |
| {85866A64-ACC7-143F-E053-6B04A8C06A15} | CM22 7JB | 553500 | D | N | F | 2019-03-08 00:00 | E01022059 | Uttlesford 009A | 24749 | 8 | 27480 | 9 | 30026 | 10 | 14338 | 5 | 31260 | 10 | 23266 | 8 |
| {85866A64-ACC8-143F-E053-6B04A8C06A15} | CM15 9NR | 242000 | T | N | F | 2019-02-07 00:00 | E01021461 | Brentwood 004D | 12860 | 4 | 10654 | 4 | 12049 | 4 | 10625 | 4 | 17909 | 6 | 6332 | 2 |
| {85866A64-ACCA-143F-E053-6B04A8C06A15} | CM2 6UB | 163000 | F | N | L | 2019-01-25 00:00 | E01021547 | Chelmsford 008D | 25778 | 8 | 25894 | 8 | 28741 | 9 | 20458 | 7 | 30373 | 10 | 26522 | 9 |
| {85866A64-ACCB-143F-E053-6B04A8C06A15} | CM4 9EG | 610000 | S | N | F | 2019-02-22 00:00 | E01021458 | Brentwood 002B | 29814 | 10 | 24676 | 8 | 26869 | 9 | 19759 | 7 | 29379 | 9 | 26933 | 9 |
| {85866A64-ACCC-143F-E053-6B04A8C06A15} | CM2 0TL | 540000 | S | N | F | 2019-02-15 00:00 | E01021577 | Chelmsford 012B | 28378 | 9 | 26088 | 8 | 25194 | 8 | 13262 | 5 | 30271 | 10 | 29274 | 9 |
| {85866A64-ACCD-143F-E053-6B04A8C06A15} | CO15 2NN | 214000 | D | N | F | 2019-01-31 00:00 | E01021990 | Tendring 018C | 1514 | 1 | 1637 | 1 | 1100 | 1 | 6831 | 3 | 1626 | 1 | 595 | 1 |
| {85866A64-ACCF-143F-E053-6B04A8C06A15} | CO16 8RY | 290000 | D | N | F | 2019-02-15 00:00 | E01022045 | Tendring 018D | 1253 | 1 | 2878 | 1 | 1500 | 1 | 278 | 1 | 2165 | 1 | 5405 | 2 |
| {85866A64-ACD0-143F-E053-6B04A8C06A15} | CO15 3HP | 177000 | T | N | F | 2019-02-19 00:00 | E01021970 | Tendring 016A | 419 | 1 | 833 | 1 | 435 | 1 | 486 | 1 | 643 | 1 | 1351 | 1 |
| {85866A64-ACD1-143F-E053-6B04A8C06A15} | CO15 4LE | 158000 | S | N | F | 2019-03-13 00:00 | E01022041 | Tendring 010D | 10272 | 4 | 10967 | 4 | 6448 | 2 | 12709 | 4 | 8289 | 3 | 5681 | 2 |
| {85866A64-AED5-143F-E053-6B04A8C06A15} | CM2 6YZ | 385000 | S | N | F | 2019-02-06 00:00 | E01021545 | Chelmsford 008B | 29733 | 10 | 28677 | 9 | 30068 | 10 | 20979 | 7 | 28283 | 9 | 21924 | 7 |
| {85866A64-AED6-143F-E053-6B04A8C06A15} | CO6 2SB | 258000 | D | N | F | 2019-03-21 00:00 | E01021410 | Braintree 006E | 15398 | 5 | 10005 | 4 | 10628 | 4 | 27988 | 9 | 15396 | 5 | 11591 | 4 |
| {85866A64-AED8-143F-E053-6B04A8C06A15} | CM2 8PX | 249000 | T | N | F | 2019-01-21 00:00 | E01021552 | Chelmsford 017A | 22220 | 7 | 19856 | 7 | 19300 | 6 | 19943 | 7 | 24141 | 8 | 13976 | 5 |
| {85866A64-AED9-143F-E053-6B04A8C06A15} | CB11 4FG | 875000 | D | N | F | 2019-02-14 00:00 | E01022075 | Uttlesford 001B | 32811 | 10 | 32586 | 10 | 32740 | 10 | 30019 | 10 | 31890 | 10 | 32488 | 10 |
| {85866A64-AEDA-143F-E053-6B04A8C06A15} | CO16 9DT | 100000 | S | N | F | 2019-02-15 00:00 | E01022018 | Tendring 007E | 10827 | 4 | 13702 | 5 | 8241 | 3 | 16597 | 6 | 6683 | 3 | 7691 | 3 |
| {85866A64-AEDB-143F-E053-6B04A8C06A15} | CM7 1XF | 345000 | D | N | F | 2019-03-22 00:00 | E01021373 | Braintree 011D | 18595 | 6 | 15456 | 5 | 14374 | 5 | 21445 | 7 | 21176 | 7 | 11426 | 4 |
| {85866A64-AEDC-143F-E053-6B04A8C06A15} | CM2 9NF | 246500 | T | N | F | 2019-03-08 00:00 | E01021585 | Chelmsford 015D | 31111 | 10 | 30824 | 10 | 30373 | 10 | 27324 | 9 | 31460 | 10 | 17808 | 6 |
| {85866A64-AEDD-143F-E053-6B04A8C06A15} | CM2 8BN | 385000 | S | N | F | 2019-02-15 00:00 | E01021559 | Chelmsford 017E | 30472 | 10 | 30985 | 10 | 29952 | 10 | 30250 | 10 | 30234 | 10 | 26742 | 9 |
| {85866A64-AEDE-143F-E053-6B04A8C06A15} | CM17 9WH | 270000 | T | N | F | 2019-02-25 00:00 | E01021828 | Harlow 005E | 29026 | 9 | 28726 | 9 | 31670 | 10 | 30082 | 10 | 26399 | 9 | 19091 | 6 |
| {85866A64-AEDF-143F-E053-6B04A8C06A15} | CO13 0PT | 235000 | S | N | F | 2019-02-14 00:00 | E01022009 | Tendring 008E | 14233 | 5 | 14656 | 5 | 12164 | 4 | 24084 | 8 | 9331 | 3 | 11562 | 4 |
| {85866A64-AEE0-143F-E053-6B04A8C06A15} | CO15 6AE | 189995 | F | N | L | 2019-01-25 00:00 | E01022027 | Tendring 016D | 1294 | 1 | 3683 | 2 | 1076 | 1 | 598 | 1 | 1515 | 1 | 4282 | 2 |
| {85866A64-AEE2-143F-E053-6B04A8C06A15} | RM19 1SA | 235000 | T | N | F | 2019-01-25 00:00 | E01016012 | Thurrock 015C | 10896 | 4 | 12837 | 4 | 17782 | 6 | 4963 | 2 | 17870 | 6 | 10767 | 4 |
| {85866A64-AEE3-143F-E053-6B04A8C06A15} | SS2 4LQ | 180000 | F | N | L | 2019-02-28 00:00 | E01015875 | Southend-on-Sea 006G | 3734 | 2 | 3197 | 1 | 2319 | 1 | 4807 | 2 | 5037 | 2 | 5011 | 2 |
| {85866A64-AEE4-143F-E053-6B04A8C06A15} | SS3 0BG | 288000 | S | N | F | 2019-03-08 00:00 | E01021923 | Rochford 010D | 26100 | 8 | 23882 | 8 | 21637 | 7 | 22909 | 7 | 26157 | 8 | 12612 | 4 |
| {85866A64-AEE6-143F-E053-6B04A8C06A15} | IG7 5NF | 195000 | F | N | L | 2019-02-20 00:00 | E01021764 | Epping Forest 017A | 9597 | 3 | 5799 | 2 | 10191 | 4 | 11898 | 4 | 16888 | 6 | 6711 | 3 |
| {85866A64-AEE7-143F-E053-6B04A8C06A15} | CM11 1ND | 329000 | S | N | F | 2019-02-15 00:00 | E01021604 | Chelmsford 018D | 24703 | 8 | 27375 | 9 | 30125 | 10 | 14388 | 5 | 32261 | 10 | 24088 | 8 |
| {85866A64-AEE8-143F-E053-6B04A8C06A15} | CM2 7LL | 367500 | S | N | F | 2019-02-15 00:00 | E01021564 | Chelmsford 013D | 29223 | 9 | 27928 | 9 | 23489 | 8 | 17722 | 6 | 29895 | 10 | 24257 | 8 |
| {85866A64-AEE9-143F-E053-6B04A8C06A15} | SS3 9UP | 430000 | D | N | F | 2019-03-14 00:00 | E01015881 | Southend-on-Sea 013F | 19853 | 7 | 15780 | 5 | 14860 | 5 | 15631 | 5 | 21976 | 7 | 13696 | 5 |
| {85866A64-AEEA-143F-E053-6B04A8C06A15} | CO4 0AT | 155000 | F | N | L | 2019-03-22 00:00 | E01021702 | Colchester 022D | 20886 | 7 | 18375 | 6 | 24539 | 8 | 12433 | 4 | 19004 | 6 | 16201 | 5 |
| {85866A64-AEEB-143F-E053-6B04A8C06A15} | SS8 7SN | 195000 | S | N | F | 2019-03-05 00:00 | E01021497 | Castle Point 012D | 14538 | 5 | 13598 | 5 | 15491 | 5 | 21146 | 7 | 18078 | 6 | 3213 | 1 |
| {85866A64-AEEC-143F-E053-6B04A8C06A15} | RM16 6BY | 225000 | F | N | L | 2019-03-01 00:00 | E01015982 | Thurrock 019A | 27368 | 9 | 27768 | 9 | 30257 | 10 | 15036 | 5 | 25345 | 8 | 26687 | 9 |
| {85866A64-AEED-143F-E053-6B04A8C06A15} | CM8 3RP | 267000 | S | N | F | 2019-02-08 00:00 | E01021360 | Braintree 012A | 14463 | 5 | 11036 | 4 | 11786 | 4 | 19396 | 6 | 15817 | 5 | 5774 | 2 |
| {85866A64-AEEE-143F-E053-6B04A8C06A15} | CO5 7EA | 222000 | T | N | F | 2019-03-20 00:00 | E01021657 | Colchester 016A | 21358 | 7 | 18702 | 6 | 18764 | 6 | 20922 | 7 | 19172 | 6 | 19681 | 6 |
| {85866A64-AEEF-143F-E053-6B04A8C06A15} | CO7 6AW | 450000 | S | N | F | 2019-03-06 00:00 | E01021656 | Colchester 001B | 21899 | 7 | 20953 | 7 | 21581 | 7 | 22662 | 7 | 29877 | 10 | 24087 | 8 |
| {85866A64-AEF1-143F-E053-6B04A8C06A15} | CB9 7DX | 202800 | T | N | F | 2019-03-08 00:00 | E01021375 | Braintree 001A | 25740 | 8 | 25001 | 8 | 19676 | 6 | 26546 | 9 | 23642 | 8 | 22541 | 7 |
| {85866A64-AEF3-143F-E053-6B04A8C06A15} | CM6 1LX | 415000 | S | N | F | 2019-03-18 00:00 | E01022058 | Uttlesford 008A | 20459 | 7 | 27552 | 9 | 28262 | 9 | 29918 | 10 | 29027 | 9 | 25412 | 8 |
| {85866A64-AEF5-143F-E053-6B04A8C06A15} | SS3 0EQ | 202500 | F | N | L | 2019-03-22 00:00 | E01021923 | Rochford 010D | 26100 | 8 | 23882 | 8 | 21637 | 7 | 22909 | 7 | 26157 | 8 | 12612 | 4 |
| {85866A64-AEF6-143F-E053-6B04A8C06A15} | CM16 7QQ | 1000000 | F | N | L | 2019-03-15 00:00 | E01021800 | Epping Forest 003C | 9468 | 3 | 20310 | 7 | 19901 | 7 | 5635 | 2 | 26159 | 8 | 10987 | 4 |
| {85866A64-AEF7-143F-E053-6B04A8C06A15} | CM1 6NF | 225500 | F | N | L | 2019-02-25 00:00 | E01021624 | Chelmsford 004F | 32035 | 10 | 32354 | 10 | 28950 | 9 | 24488 | 8 | 29662 | 10 | 23772 | 8 |
| {85866A64-AEF8-143F-E053-6B04A8C06A15} | CO15 4BT | 320000 | D | N | F | 2019-02-22 00:00 | E01022042 | Tendring 014A | 1299 | 1 | 965 | 1 | 1030 | 1 | 4672 | 2 | 1943 | 1 | 1378 | 1 |
| {85866A64-AEF9-143F-E053-6B04A8C06A15} | CO12 5FG | 336000 | D | N | F | 2019-03-01 00:00 | E01022002 | Tendring 004C | 16473 | 6 | 15310 | 5 | 12675 | 4 | 26099 | 8 | 11942 | 4 | 9408 | 3 |
| {85866A64-AEFA-143F-E053-6B04A8C06A15} | SS9 1LT | 210000 | F | N | L | 2019-03-08 00:00 | E01015830 | Southend-on-Sea 012D | 31888 | 10 | 30955 | 10 | 29338 | 9 | 15439 | 5 | 31062 | 10 | 30053 | 10 |
| {85866A64-AA79-143F-E053-6B04A8C06A15} | CB10 2BB | 307500 | S | N | F | 2019-02-15 00:00 | E01022079 | Uttlesford 002D | 25552 | 8 | 21904 | 7 | 23115 | 8 | 23823 | 8 | 29948 | 10 | 23044 | 8 |
| {85866A64-AA7A-143F-E053-6B04A8C06A15} | CM0 8TL | 247500 | S | N | F | 2019-03-06 00:00 | E01021878 | Maldon 008C | 24234 | 8 | 17330 | 6 | 20968 | 7 | 23454 | 8 | 22276 | 7 | 17718 | 6 |
| {85866A64-AA7B-143F-E053-6B04A8C06A15} | CM3 5TS | 280000 | S | N | F | 2019-01-25 00:00 | E01021611 | Chelmsford 019A | 29960 | 10 | 29487 | 9 | 27772 | 9 | 27886 | 9 | 31237 | 10 | 19667 | 6 |
| {85866A64-AA7C-143F-E053-6B04A8C06A15} | CM16 5DP | 407000 | S | N | F | 2019-02-21 00:00 | E01021763 | Epping Forest 005D | 23322 | 8 | 19500 | 6 | 20336 | 7 | 10121 | 4 | 27743 | 9 | 23132 | 8 |
| {85866A64-AA7D-143F-E053-6B04A8C06A15} | CO7 9HW | 255000 | S | N | F | 2019-03-06 00:00 | E01021737 | Colchester 017B | 22925 | 7 | 22881 | 7 | 22398 | 7 | 31210 | 10 | 18304 | 6 | 20513 | 7 |
| {85866A64-AA7E-143F-E053-6B04A8C06A15} | SS4 3BG | 284000 | S | N | F | 2019-03-08 00:00 | E01021928 | Rochford 002C | 24932 | 8 | 19758 | 7 | 22636 | 7 | 25751 | 8 | 28958 | 9 | 13218 | 5 |
| {85866A64-AA7F-143F-E053-6B04A8C06A15} | CO7 7YH | 260000 | S | N | F | 2019-02-15 00:00 | E01022052 | Tendring 005D | 19412 | 6 | 18796 | 6 | 13021 | 4 | 31188 | 10 | 11178 | 4 | 17452 | 6 |
| {85866A64-AA80-143F-E053-6B04A8C06A15} | IG10 3TU | 410000 | S | N | F | 2019-02-22 00:00 | E01021775 | Epping Forest 011B | 10606 | 4 | 12393 | 4 | 10697 | 4 | 1953 | 1 | 17673 | 6 | 7365 | 3 |
| {85866A64-AA82-143F-E053-6B04A8C06A15} | CO3 9XW | 295000 | D | N | F | 2019-02-18 00:00 | E01021690 | Colchester 014B | 24250 | 8 | 22116 | 7 | 20119 | 7 | 27771 | 9 | 19820 | 7 | 21705 | 7 |
| {85866A64-AA83-143F-E053-6B04A8C06A15} | CM15 0XE | 445000 | T | N | F | 2019-03-14 00:00 | E01021443 | Brentwood 001C | 14807 | 5 | 15059 | 5 | 23251 | 8 | 12093 | 4 | 29455 | 9 | 11836 | 4 |
| {85866A64-AA84-143F-E053-6B04A8C06A15} | CO15 4EU | 182000 | D | N | F | 2019-03-01 00:00 | E01022044 | Tendring 013E | 6985 | 3 | 7189 | 3 | 4225 | 2 | 12849 | 4 | 5916 | 2 | 4758 | 2 |
| {85866A64-AA85-143F-E053-6B04A8C06A15} | SS13 3HW | 238500 | T | N | F | 2019-02-07 00:00 | E01021317 | Basildon 018E | 2634 | 1 | 3656 | 2 | 3905 | 2 | 315 | 1 | 7082 | 3 | 1511 | 1 |
| {85866A64-AA86-143F-E053-6B04A8C06A15} | SS5 4UN | 370000 | S | N | F | 2019-03-12 00:00 | E01021941 | Rochford 003I | 31708 | 10 | 30948 | 10 | 30664 | 10 | 29011 | 9 | 32310 | 10 | 22070 | 7 |
| {85866A64-AA87-143F-E053-6B04A8C06A15} | SS15 5QE | 353250 | D | N | F | 2019-03-15 00:00 | E01021274 | Basildon 010D | 11620 | 4 | 10986 | 4 | 11700 | 4 | 7092 | 3 | 12932 | 4 | 7759 | 3 |
| {85866A64-AA88-143F-E053-6B04A8C06A15} | CM22 6LT | 275000 | S | N | F | 2019-02-08 00:00 | E01022062 | Uttlesford 005A | 31238 | 10 | 31540 | 10 | 31591 | 10 | 25528 | 8 | 32376 | 10 | 27406 | 9 |
| {85866A64-AA89-143F-E053-6B04A8C06A15} | CM1 6QR | 146000 | F | N | L | 2019-02-26 00:00 | E01021621 | Chelmsford 007B | 23198 | 8 | 23852 | 8 | 26567 | 9 | 15829 | 5 | 30199 | 10 | 15917 | 5 |
| {85866A64-AA8A-143F-E053-6B04A8C06A15} | CM15 9LX | 268000 | T | N | F | 2019-01-25 00:00 | E01021461 | Brentwood 004D | 12860 | 4 | 10654 | 4 | 12049 | 4 | 10625 | 4 | 17909 | 6 | 6332 | 2 |
| {85866A64-AA8B-143F-E053-6B04A8C06A15} | CM12 0UD | 450000 | D | N | F | 2019-03-01 00:00 | E01021252 | Basildon 002E | 30593 | 10 | 31139 | 10 | 31725 | 10 | 28838 | 9 | 24869 | 8 | 28950 | 9 |
| {85866A64-AA8C-143F-E053-6B04A8C06A15} | EN9 2LF | 377500 | T | N | F | 2019-02-28 00:00 | E01021794 | Epping Forest 002D | 17854 | 6 | 13753 | 5 | 22056 | 7 | 13446 | 5 | 23832 | 8 | 10957 | 4 |
| {85866A64-AA8E-143F-E053-6B04A8C06A15} | SS16 5EH | 251500 | T | N | F | 2019-03-14 00:00 | E01021296 | Basildon 020C | 12969 | 4 | 12018 | 4 | 11559 | 4 | 3827 | 2 | 19569 | 6 | 11857 | 4 |
| {85866A64-AA8F-143F-E053-6B04A8C06A15} | IG6 2QU | 529000 | T | N | F | 2019-03-07 00:00 | E01003700 | Redbridge 006C | 16080 | 5 | 14281 | 5 | 14975 | 5 | 12573 | 4 | 22969 | 7 | 14790 | 5 |
| {85866A64-AA90-143F-E053-6B04A8C06A15} | CM3 5UA | 360000 | D | N | F | 2019-02-22 00:00 | E01021611 | Chelmsford 019A | 29960 | 10 | 29487 | 9 | 27772 | 9 | 27886 | 9 | 31237 | 10 | 19667 | 6 |
| {85866A64-AA91-143F-E053-6B04A8C06A15} | SS13 3EN | 250000 | T | N | F | 2019-03-01 00:00 | E01021317 | Basildon 018E | 2634 | 1 | 3656 | 2 | 3905 | 2 | 315 | 1 | 7082 | 3 | 1511 | 1 |
| {85866A64-AA92-143F-E053-6B04A8C06A15} | SS15 5EP | 290000 | T | N | F | 2019-02-20 00:00 | E01021292 | Basildon 017B | 3402 | 2 | 3303 | 2 | 2862 | 1 | 379 | 1 | 7041 | 3 | 5827 | 2 |
| {85866A64-AA93-143F-E053-6B04A8C06A15} | IG10 3PY | 365000 | T | N | F | 2019-03-06 00:00 | E01021771 | Epping Forest 013A | 5221 | 2 | 4339 | 2 | 5344 | 2 | 7090 | 3 | 12147 | 4 | 3244 | 1 |
| {85866A64-AA94-143F-E053-6B04A8C06A15} | RM15 5QA | 266000 | T | N | F | 2019-03-20 00:00 | E01015927 | Thurrock 007A | 9921 | 4 | 7322 | 3 | 10173 | 4 | 6962 | 3 | 17341 | 6 | 6118 | 2 |
| {85866A64-AA95-143F-E053-6B04A8C06A15} | CM6 1HG | 345000 | F | N | F | 2019-03-08 00:00 | E01022067 | Uttlesford 007B | 21988 | 7 | 16739 | 6 | 18171 | 6 | 23066 | 8 | 21253 | 7 | 17256 | 6 |
| {85866A64-AA96-143F-E053-6B04A8C06A15} | SS13 2DY | 295000 | S | N | F | 2019-03-25 00:00 | E01021313 | Basildon 018A | 13200 | 5 | 19275 | 6 | 14851 | 5 | 4237 | 2 | 12298 | 4 | 9836 | 3 |
| {85866A64-AA97-143F-E053-6B04A8C06A15} | SS16 5EQ | 260000 | T | N | F | 2019-02-06 00:00 | E01021296 | Basildon 020C | 12969 | 4 | 12018 | 4 | 11559 | 4 | 3827 | 2 | 19569 | 6 | 11857 | 4 |
| {85866A64-AA98-143F-E053-6B04A8C06A15} | CB11 3LZ | 1200000 | D | N | F | 2019-03-01 00:00 | E01022099 | Uttlesford 004D | 29390 | 9 | 32097 | 10 | 32115 | 10 | 30826 | 10 | 32431 | 10 | 28089 | 9 |
| {85866A64-AA9A-143F-E053-6B04A8C06A15} | SS2 6SP | 305000 | S | N | F | 2019-02-15 00:00 | E01015868 | Southend-on-Sea 002F | 8729 | 3 | 7994 | 3 | 8780 | 3 | 10202 | 4 | 12151 | 4 | 3963 | 2 |
| {85866A64-AA9B-143F-E053-6B04A8C06A15} | CO6 1BB | 288000 | D | N | F | 2019-03-14 00:00 | E01021662 | Colchester 010B | 20670 | 7 | 22343 | 7 | 18360 | 6 | 29971 | 10 | 24396 | 8 | 21794 | 7 |
| {85866A64-ACD3-143F-E053-6B04A8C06A15} | SS6 8JE | 315000 | D | N | F | 2019-03-22 00:00 | E01021962 | Rochford 008C | 18963 | 6 | 14646 | 5 | 21075 | 7 | 14471 | 5 | 25930 | 8 | 11135 | 4 |
| {85866A64-ACD4-143F-E053-6B04A8C06A15} | CO13 0LZ | 192500 | S | N | F | 2019-03-01 00:00 | E01022010 | Tendring 008F | 15831 | 5 | 15039 | 5 | 10479 | 4 | 26205 | 8 | 13626 | 5 | 9694 | 3 |
| {85866A64-ACD5-143F-E053-6B04A8C06A15} | CO2 9NX | 222000 | T | N | F | 2019-02-08 00:00 | E01021714 | Colchester 015D | 17127 | 6 | 16855 | 6 | 15398 | 5 | 18497 | 6 | 14036 | 5 | 11772 | 4 |
| {85866A64-ACD6-143F-E053-6B04A8C06A15} | SS8 8EQ | 250000 | S | N | F | 2019-02-28 00:00 | E01021493 | Castle Point 009B | 16118 | 5 | 14734 | 5 | 15342 | 5 | 15641 | 5 | 20484 | 7 | 7486 | 3 |
| {85866A64-ACD7-143F-E053-6B04A8C06A15} | CO13 9AS | 315000 | F | N | L | 2019-02-28 00:00 | E01021986 | Tendring 006B | 17345 | 6 | 18319 | 6 | 12566 | 4 | 12083 | 4 | 12841 | 4 | 18560 | 6 |
| {85866A64-ACD8-143F-E053-6B04A8C06A15} | EN9 1BL | 300000 | T | N | F | 2019-01-31 00:00 | E01021818 | Epping Forest 009C | 13781 | 5 | 11077 | 4 | 11471 | 4 | 9618 | 3 | 20122 | 7 | 12714 | 4 |
| {85866A64-ACD9-143F-E053-6B04A8C06A15} | IG9 6BU | 807000 | S | N | F | 2019-02-20 00:00 | E01021742 | Epping Forest 015A | 19657 | 6 | 15116 | 5 | 16939 | 6 | 11962 | 4 | 24570 | 8 | 15892 | 5 |
| {85866A64-ACDA-143F-E053-6B04A8C06A15} | SS7 3UL | 312500 | S | N | F | 2019-03-01 00:00 | E01021510 | Castle Point 002B | 22348 | 7 | 20969 | 7 | 19176 | 6 | 30215 | 10 | 15534 | 5 | 14229 | 5 |
| {85866A64-ACDB-143F-E053-6B04A8C06A15} | SS4 1TX | 135000 | F | N | L | 2019-03-04 00:00 | E01021930 | Rochford 007A | 17611 | 6 | 16685 | 6 | 13250 | 5 | 23771 | 8 | 18878 | 6 | 12833 | 4 |
| {85866A64-ACDC-143F-E053-6B04A8C06A15} | CM3 5QE | 380000 | S | N | F | 2019-02-22 00:00 | E01021614 | Chelmsford 019D | 31259 | 10 | 27688 | 9 | 30142 | 10 | 25582 | 8 | 30841 | 10 | 18963 | 6 |
| {85866A64-ACDD-143F-E053-6B04A8C06A15} | CO6 1HN | 195000 | T | N | F | 2019-02-21 00:00 | E01021678 | Colchester 010E | 16239 | 5 | 21261 | 7 | 16025 | 5 | 6227 | 2 | 19012 | 6 | 17159 | 6 |
| {85866A64-ACDE-143F-E053-6B04A8C06A15} | CO15 5XU | 200000 | S | N | F | 2019-03-22 00:00 | E01022033 | Tendring 012B | 11303 | 4 | 9315 | 3 | 7462 | 3 | 26175 | 8 | 7716 | 3 | 7552 | 3 |
| {85866A64-ACDF-143F-E053-6B04A8C06A15} | SS8 9RD | 566500 | D | N | F | 2019-02-26 00:00 | E01021505 | Castle Point 008D | 22633 | 7 | 24378 | 8 | 20780 | 7 | 15769 | 5 | 20594 | 7 | 9299 | 3 |
| {85866A64-ACE0-143F-E053-6B04A8C06A15} | RM1 4DU | 390000 | S | N | F | 2019-02-22 00:00 | E01002334 | Havering 008B | 22951 | 7 | 20365 | 7 | 27498 | 9 | 12905 | 4 | 30122 | 10 | 16703 | 6 |
| {8F1B26BD-4597-53DB-E053-6C04A8C03649} | N22 7AQ | 575000 | F | N | L | 2019-07-12 00:00 | E01001962 | Haringey 004A | 18441 | 6 | 15087 | 5 | 20622 | 7 | 13125 | 4 | 24951 | 8 | 29142 | 9 |
| {8F1B26BD-4598-53DB-E053-6C04A8C03649} | E8 1FR | 709000 | F | N | L | 2019-06-21 00:00 | E01001762 | Hackney 017D | 9543 | 3 | 11630 | 4 | 12792 | 4 | 11315 | 4 | 10464 | 4 | 28052 | 9 |
| {8F1B26BD-4599-53DB-E053-6C04A8C03649} | E10 6JE | 300000 | F | N | L | 2019-07-01 00:00 | E01004367 | Waltham Forest 019D | 9423 | 3 | 11525 | 4 | 12972 | 4 | 3874 | 2 | 16699 | 6 | 13087 | 4 |
| {8F1B26BD-459A-53DB-E053-6C04A8C03649} | E10 6PB | 410000 | F | N | L | 2019-06-27 00:00 | E01004372 | Waltham Forest 023C | 22386 | 7 | 24738 | 8 | 30666 | 10 | 24263 | 8 | 24401 | 8 | 22697 | 7 |
| {8F1B26BD-459B-53DB-E053-6C04A8C03649} | EN2 8LA | 1000000 | F | N | L | 2019-06-21 00:00 | E01001412 | Enfield 004C | 8853 | 3 | 10956 | 4 | 13733 | 5 | 5796 | 2 | 26509 | 9 | 13225 | 5 |
| {8F1B26BD-459D-53DB-E053-6C04A8C03649} | E3 4NA | 415000 | F | N | L | 2019-06-25 00:00 | E01004267 | Tower Hamlets 012D | 6672 | 3 | 4497 | 2 | 9591 | 3 | 2294 | 1 | 14406 | 5 | 23029 | 8 |
| {8F1B26BD-459E-53DB-E053-6C04A8C03649} | E11 1PL | 415000 | F | N | L | 2019-05-31 00:00 | E01004468 | Waltham Forest 015E | 16258 | 5 | 18667 | 6 | 22110 | 7 | 10169 | 4 | 24560 | 8 | 22659 | 7 |
| {8F1B26BD-459F-53DB-E053-6C04A8C03649} | W4 5AG | 1075000 | F | N | L | 2019-07-05 00:00 | E01002692 | Hounslow 029C | 17842 | 6 | 16096 | 5 | 20186 | 7 | 16367 | 5 | 28761 | 9 | 26761 | 9 |
| {8F1B26BD-45A1-53DB-E053-6C04A8C03649} | E2 6AT | 600000 | F | N | L | 2019-06-21 00:00 | E01004313 | Tower Hamlets 009B | 11032 | 4 | 8127 | 3 | 15213 | 5 | 11763 | 4 | 15811 | 5 | 17146 | 6 |
| {8F1B26BD-45A2-53DB-E053-6C04A8C03649} | E8 1AB | 470000 | F | N | L | 2019-07-17 00:00 | E01001763 | Hackney 020C | 12683 | 4 | 12525 | 4 | 20885 | 7 | 11700 | 4 | 20253 | 7 | 22081 | 7 |
| {8F1B26BD-45A3-53DB-E053-6C04A8C03649} | E17 6LZ | 400000 | T | N | L | 2019-07-05 00:00 | E01004393 | Waltham Forest 014B | 12894 | 4 | 11571 | 4 | 20234 | 7 | 16076 | 5 | 14785 | 5 | 21131 | 7 |
| {8F1B26BD-45A4-53DB-E053-6C04A8C03649} | E17 5SB | 240000 | F | N | L | 2019-06-21 00:00 | E01004400 | Waltham Forest 009C | 8395 | 3 | 8027 | 3 | 10436 | 4 | 8140 | 3 | 17094 | 6 | 13196 | 5 |
| {8F1B26BD-45A5-53DB-E053-6C04A8C03649} | W4 2RZ | 360000 | F | N | L | 2019-05-31 00:00 | E01002572 | Hounslow 007B | 7879 | 3 | 5815 | 2 | 7673 | 3 | 12416 | 4 | 8490 | 3 | 15172 | 5 |
| {8F1B26BD-45A6-53DB-E053-6C04A8C03649} | N4 2GQ | 640000 | F | N | L | 2019-06-28 00:00 | E01033701 | Hackney 002F | 2578 | 1 | 1749 | 1 | 5333 | 2 | 4868 | 2 | 11339 | 4 | 8128 | 3 |
| {8F1B26BD-45A7-53DB-E053-6C04A8C03649} | N5 1TU | 420000 | F | N | L | 2019-07-18 00:00 | E01002752 | Islington 009E | 12440 | 4 | 8376 | 3 | 10958 | 4 | 10110 | 4 | 17498 | 6 | 23012 | 8 |
| {8F1B26BD-45A8-53DB-E053-6C04A8C03649} | N22 6RR | 340295 | F | N | L | 2019-06-28 00:00 | E01002027 | Haringey 010A | 8044 | 3 | 6864 | 3 | 8658 | 3 | 8530 | 3 | 13450 | 5 | 13056 | 4 |
| {8F1B26BD-45A9-53DB-E053-6C04A8C03649} | NW2 4ES | 582500 | F | N | L | 2019-06-07 00:00 | E01000560 | Brent 023D | 15170 | 5 | 16020 | 5 | 15775 | 5 | 9069 | 3 | 24133 | 8 | 25820 | 8 |
| {8F1B26BD-45AA-53DB-E053-6C04A8C03649} | E4 9RH | 922000 | T | N | F | 2019-07-04 00:00 | E01004386 | Waltham Forest 003C | 25868 | 8 | 27219 | 9 | 24801 | 8 | 17798 | 6 | 25645 | 8 | 22079 | 7 |
| {8F1B26BD-45AB-53DB-E053-6C04A8C03649} | UB9 6RD | 660000 | D | N | F | 2019-03-06 00:00 | E01002441 | Hillingdon 003D | 11576 | 4 | 10413 | 4 | 12737 | 4 | 5963 | 2 | 11847 | 4 | 11870 | 4 |
| {8F1B26BD-45AC-53DB-E053-6C04A8C03649} | EN4 9SE | 322000 | F | N | L | 2019-07-05 00:00 | E01000170 | Barnet 006A | 14031 | 5 | 10719 | 4 | 10414 | 4 | 8594 | 3 | 25024 | 8 | 21554 | 7 |
| {8F1B26BD-45AD-53DB-E053-6C04A8C03649} | N14 4JR | 385000 | F | N | L | 2019-06-28 00:00 | E01001525 | Enfield 020E | 17196 | 6 | 15368 | 5 | 19559 | 6 | 15865 | 5 | 23866 | 8 | 27045 | 9 |
| {8F1B26BD-45AE-53DB-E053-6C04A8C03649} | E1 8RB | 395000 | F | N | L | 2019-06-14 00:00 | E01000005 | City of London 001E | 8678 | 3 | 6029 | 2 | 7833 | 3 | 31059 | 10 | 17907 | 6 | 12370 | 4 |
| {8F1B26BD-45AF-53DB-E053-6C04A8C03649} | TW14 8PB | 228000 | F | N | L | 2019-05-31 00:00 | E01002557 | Hounslow 023A | 10494 | 4 | 11062 | 4 | 14669 | 5 | 10900 | 4 | 20088 | 7 | 8779 | 3 |
| {8F1B26BD-45B0-53DB-E053-6C04A8C03649} | W5 2PZ | 696500 | F | N | L | 2019-05-29 00:00 | E01001235 | Ealing 020D | 19722 | 7 | 19912 | 7 | 24417 | 8 | 7228 | 3 | 23433 | 8 | 24888 | 8 |
| {8F1B26BD-45B1-53DB-E053-6C04A8C03649} | NW9 0FG | 470000 | F | N | L | 2019-04-01 00:00 | E01000516 | Brent 002C | 14898 | 5 | 15553 | 5 | 19342 | 6 | 10621 | 4 | 23970 | 8 | 16778 | 6 |
| {8F1B26BD-45B2-53DB-E053-6C04A8C03649} | HA5 1SL | 725000 | D | N | F | 2019-06-27 00:00 | E01002437 | Hillingdon 006E | 29735 | 10 | 28358 | 9 | 30166 | 10 | 25370 | 8 | 30225 | 10 | 31182 | 10 |
| {8F1B26BD-45B3-53DB-E053-6C04A8C03649} | N6 4EY | 800000 | F | N | L | 2019-04-26 00:00 | E01002011 | Haringey 030D | 13214 | 5 | 13895 | 5 | 14301 | 5 | 4212 | 2 | 23360 | 8 | 24177 | 8 |
| {8F1B26BD-45B4-53DB-E053-6C04A8C03649} | E4 9XE | 208000 | F | N | L | 2019-07-01 00:00 | E01004419 | Waltham Forest 008E | 13460 | 5 | 18459 | 6 | 20853 | 7 | 9748 | 3 | 26058 | 8 | 17203 | 6 |
| {9B361206-17BF-1904-E053-6B04A8C0EEB5} | TQ6 0EX | 540000 | T | N | F | 2019-12-06 00:00 | E01020188 | South Hams 004D | 17489 | 6 | 23907 | 8 | 25303 | 8 | 29674 | 10 | 28820 | 9 | 28651 | 9 |
| {9B361206-17C0-1904-E053-6B04A8C0EEB5} | EX7 0LS | 315000 | D | N | F | 2019-11-29 00:00 | E01020231 | Teignbridge 005C | 18779 | 6 | 17483 | 6 | 15104 | 5 | 25394 | 8 | 16218 | 5 | 10636 | 4 |
| {9B361206-17C1-1904-E053-6B04A8C0EEB5} | EX37 9RL | 600000 | D | N | F | 2019-12-02 00:00 | E01020097 | North Devon 013A | 13309 | 5 | 20899 | 7 | 25133 | 8 | 31411 | 10 | 25704 | 8 | 16223 | 5 |
| {9FF0D969-6881-11ED-E053-6C04A8C06383} | TW7 6JT | 383000 | F | N | L | 2019-10-11 00:00 | E01002658 | Hounslow 015D | 24569 | 8 | 27868 | 9 | 30583 | 10 | 12728 | 4 | 22019 | 7 | 29033 | 9 |
| {9B361206-17C3-1904-E053-6B04A8C0EEB5} | EX12 2SS | 210000 | D | N | F | 2019-11-12 00:00 | E01019949 | East Devon 010D | 28437 | 9 | 23171 | 8 | 22391 | 7 | 31761 | 10 | 29255 | 9 | 19749 | 7 |
| {9B361206-17C4-1904-E053-6B04A8C0EEB5} | EX2 7NQ | 329950 | T | Y | F | 2019-08-06 00:00 | E01020033 | Exeter 015C | 17593 | 6 | 12417 | 4 | 11876 | 4 | 17951 | 6 | 20467 | 7 | 20861 | 7 |
| {9B361206-17C5-1904-E053-6B04A8C0EEB5} | PL20 7PD | 225000 | T | N | F | 2019-12-16 00:00 | E01020316 | West Devon 007D | 26608 | 9 | 28618 | 9 | 28989 | 9 | 32162 | 10 | 25969 | 8 | 31763 | 10 |
| {9B361206-17C6-1904-E053-6B04A8C0EEB5} | PL20 6JJ | 200000 | D | N | F | 2019-11-29 00:00 | E01020317 | West Devon 006A | 20801 | 7 | 24320 | 8 | 19297 | 6 | 30798 | 10 | 19355 | 6 | 22971 | 7 |
| {9B361206-17C7-1904-E053-6B04A8C0EEB5} | TQ3 2LJ | 240000 | D | N | F | 2019-12-09 00:00 | E01015203 | Torbay 012B | 21635 | 7 | 21899 | 7 | 15994 | 5 | 25167 | 8 | 14966 | 5 | 19150 | 6 |
| {9B361206-17C8-1904-E053-6B04A8C0EEB5} | EX4 6RP | 126000 | F | N | L | 2019-11-20 00:00 | E01020019 | Exeter 004B | 27981 | 9 | 31072 | 10 | 32691 | 10 | 27095 | 9 | 26357 | 9 | 28409 | 9 |
| {9B361206-17C9-1904-E053-6B04A8C0EEB5} | PL21 9FZ | 232000 | S | Y | F | 2019-07-04 00:00 | E01020167 | South Hams 005G | 32466 | 10 | 31343 | 10 | 26453 | 9 | 31703 | 10 | 27317 | 9 | 29951 | 10 |
| {9B361206-17CA-1904-E053-6B04A8C0EEB5} | EX12 2FH | 199995 | F | Y | L | 2019-06-28 00:00 | E01019947 | East Devon 010B | 15548 | 5 | 12568 | 4 | 12918 | 4 | 21100 | 7 | 16557 | 6 | 14891 | 5 |
| {9B361206-17CB-1904-E053-6B04A8C0EEB5} | PL9 8GJ | 255000 | S | Y | F | 2019-10-21 00:00 | E01020187 | South Hams 009D | 19157 | 6 | 17077 | 6 | 12165 | 4 | 26414 | 9 | 21098 | 7 | 23777 | 8 |
| {9B361206-17CC-1904-E053-6B04A8C0EEB5} | PL21 9FZ | 260000 | D | Y | F | 2019-10-11 00:00 | E01020167 | South Hams 005G | 32466 | 10 | 31343 | 10 | 26453 | 9 | 31703 | 10 | 27317 | 9 | 29951 | 10 |
| {9B361206-17CD-1904-E053-6B04A8C0EEB5} | EX15 1UZ | 110000 | F | N | L | 2019-10-18 00:00 | E01020055 | Mid Devon 007B | 13938 | 5 | 12617 | 4 | 10767 | 4 | 23905 | 8 | 17267 | 6 | 5738 | 2 |
| {9B361206-17CE-1904-E053-6B04A8C0EEB5} | EX22 6FQ | 215000 | T | Y | F | 2019-10-18 00:00 | E01020294 | Torridge 008C | 6946 | 3 | 6944 | 3 | 5974 | 2 | 26803 | 9 | 8991 | 3 | 4478 | 2 |
| {9B361206-17CF-1904-E053-6B04A8C0EEB5} | EX1 3UX | 399995 | D | Y | F | 2019-09-23 00:00 | E01019893 | East Devon 006C | 20288 | 7 | 19052 | 6 | 19451 | 6 | 30421 | 10 | 28017 | 9 | 17851 | 6 |
| {9B361206-17D0-1904-E053-6B04A8C0EEB5} | TQ9 5WY | 470950 | T | Y | F | 2019-10-16 00:00 | E01020184 | South Hams 003E | 14439 | 5 | 7265 | 3 | 8129 | 3 | 19941 | 7 | 20627 | 7 | 28951 | 9 |
| {9B361206-17D1-1904-E053-6B04A8C0EEB5} | EX31 3GD | 289995 | D | Y | F | 2019-10-16 00:00 | E01020086 | North Devon 012C | 26013 | 8 | 24789 | 8 | 22745 | 7 | 18979 | 6 | 19586 | 6 | 20117 | 7 |
| {9B361206-17D3-1904-E053-6B04A8C0EEB5} | EX31 3TW | 453000 | D | Y | F | 2019-10-25 00:00 | E01020106 | North Devon 011B | 19704 | 6 | 21352 | 7 | 17481 | 6 | 32722 | 10 | 12731 | 4 | 23766 | 8 |
| {9B361206-17D4-1904-E053-6B04A8C0EEB5} | EX17 1FE | 229995 | S | Y | F | 2019-03-29 00:00 | E01020042 | Mid Devon 011B | 28993 | 9 | 26173 | 8 | 25620 | 8 | 27619 | 9 | 28636 | 9 | 17461 | 6 |
| {9FF0D969-6884-11ED-E053-6C04A8C06383} | UB10 9NA | 320000 | F | N | L | 2019-10-24 00:00 | E01002513 | Hillingdon 013D | 21967 | 7 | 21007 | 7 | 16832 | 6 | 15420 | 5 | 22683 | 7 | 26677 | 9 |
| {9FF0D969-6886-11ED-E053-6C04A8C06383} | W13 8RD | 399000 | F | N | L | 2019-11-15 00:00 | E01001222 | Ealing 019A | 12874 | 4 | 13108 | 4 | 16185 | 5 | 13668 | 5 | 20841 | 7 | 25621 | 8 |
| {9B361206-17D7-1904-E053-6B04A8C0EEB5} | EX3 0FG | 430000 | S | Y | F | 2019-10-25 00:00 | E01020033 | Exeter 015C | 17593 | 6 | 12417 | 4 | 11876 | 4 | 17951 | 6 | 20467 | 7 | 20861 | 7 |
| {9FF0D969-6888-11ED-E053-6C04A8C06383} | HA2 6BU | 275000 | F | N | L | 2019-04-05 00:00 | E01002161 | Harrow 021C | 19247 | 6 | 11499 | 4 | 18084 | 6 | 21803 | 7 | 27275 | 9 | 29498 | 9 |
| {9B361206-17D9-1904-E053-6B04A8C0EEB5} | TQ9 6GU | 360000 | S | Y | F | 2019-04-18 00:00 | E01020181 | South Hams 003B | 17792 | 6 | 11145 | 4 | 10032 | 4 | 26856 | 9 | 15400 | 5 | 19881 | 7 |
| {9B361206-17DA-1904-E053-6B04A8C0EEB5} | TQ1 4NW | 350000 | F | Y | L | 2019-10-31 00:00 | E01015239 | Torbay 002D | 5045 | 2 | 3574 | 2 | 2769 | 1 | 14742 | 5 | 3736 | 2 | 13841 | 5 |
| {9B361206-17DB-1904-E053-6B04A8C0EEB5} | TQ9 7FN | 365000 | D | Y | F | 2019-10-29 00:00 | E01020188 | South Hams 004D | 17489 | 6 | 23907 | 8 | 25303 | 8 | 29674 | 10 | 28820 | 9 | 28651 | 9 |
| {9B361206-17DC-1904-E053-6B04A8C0EEB5} | TQ1 3LD | 500000 | F | Y | L | 2019-10-31 00:00 | E01015236 | Torbay 002A | 11715 | 4 | 14486 | 5 | 9116 | 3 | 5638 | 2 | 13778 | 5 | 16132 | 5 |
| {9B361206-17DD-1904-E053-6B04A8C0EEB5} | EX2 7NQ | 354950 | D | Y | F | 2019-09-27 00:00 | E01020033 | Exeter 015C | 17593 | 6 | 12417 | 4 | 11876 | 4 | 17951 | 6 | 20467 | 7 | 20861 | 7 |
| {9FF0D969-6894-11ED-E053-6C04A8C06383} | W3 7UN | 220000 | F | N | L | 2019-07-02 00:00 | E01001245 | Ealing 024F | 18507 | 6 | 16403 | 5 | 22559 | 7 | 13345 | 5 | 24008 | 8 | 26961 | 9 |
| {9B361206-17DF-1904-E053-6B04A8C0EEB5} | TQ7 2FA | 195000 | T | N | F | 2019-10-03 00:00 | E01020178 | South Hams 011C | 19888 | 7 | 24483 | 8 | 23902 | 8 | 32446 | 10 | 27927 | 9 | 24866 | 8 |
| {9B361206-17E1-1904-E053-6B04A8C0EEB5} | TQ9 6GR | 375000 | S | Y | F | 2019-10-31 00:00 | E01020181 | South Hams 003B | 17792 | 6 | 11145 | 4 | 10032 | 4 | 26856 | 9 | 15400 | 5 | 19881 | 7 |
| {9B361206-17E2-1904-E053-6B04A8C0EEB5} | EX31 3UG | 330000 | D | Y | F | 2019-10-18 00:00 | E01020105 | North Devon 011A | 22666 | 7 | 19686 | 6 | 17996 | 6 | 29187 | 9 | 15816 | 5 | 14395 | 5 |
| {9B361206-275C-1904-E053-6B04A8C0EEB5} | N8 0SG | 285000 | F | N | L | 2019-11-22 00:00 | E01002003 | Haringey 023C | 5261 | 2 | 6416 | 2 | 9560 | 3 | 2282 | 1 | 12153 | 4 | 8164 | 3 |
| {9B361206-275D-1904-E053-6B04A8C0EEB5} | E1W 2JF | 630000 | F | N | L | 2019-09-06 00:00 | E01004292 | Tower Hamlets 026A | 27385 | 9 | 27476 | 9 | 31829 | 10 | 16173 | 5 | 23286 | 8 | 29342 | 9 |
| {9B361206-275E-1904-E053-6B04A8C0EEB5} | E11 2JU | 1185000 | S | N | F | 2019-09-24 00:00 | E01003796 | Redbridge 018D | 25148 | 8 | 25034 | 8 | 28543 | 9 | 10846 | 4 | 31375 | 10 | 30118 | 10 |
| {9B361206-275F-1904-E053-6B04A8C0EEB5} | E17 4PL | 575000 | T | N | F | 2019-11-29 00:00 | E01004347 | Waltham Forest 011C | 18452 | 6 | 16302 | 5 | 22673 | 7 | 13403 | 5 | 25222 | 8 | 23465 | 8 |
| {9B361206-2760-1904-E053-6B04A8C0EEB5} | N9 7PZ | 196000 | F | N | L | 2019-12-04 00:00 | E01001480 | Enfield 024D | 7739 | 3 | 7133 | 3 | 10874 | 4 | 11738 | 4 | 15576 | 5 | 13809 | 5 |
| missing | % | |
|---|---|---|
| Unique_transaction_code | 0 | 0 |
| Postcode | 0 | 0 |
| Price | 0 | 0 |
| Housing_type | 0 | 0 |
| New_or_old | 0 | 0 |
| Freehold_Leasehold | 0 | 0 |
| Date | 0 | 0 |
| LSOA_code | 0 | 0 |
| LSOA_name | 0 | 0 |
| IMD_rank | 0 | 0 |
| IMD_decile | 0 | 0 |
| Income_rank | 0 | 0 |
| Income_decile | 0 | 0 |
| Employment_rank | 0 | 0 |
| Employment_decile | 0 | 0 |
| Crime_rank | 0 | 0 |
| Crime_decile | 0 | 0 |
| Health_Deprivation_rank | 0 | 0 |
| Health_Deprivation_decile | 0 | 0 |
| Skill_rank | 0 | 0 |
| Skill_decile | 0 | 0 |
As we can see and as I was expecting, there are no missing values inside of the dataset, this is mainly due to the fact that during matching we had to have a valid LSOA code in England that would make us able to join the IMD information, this asked to filter for code starting by “E” and therefore eliminating NAs.
Price paid data : https://www.gov.uk/government/statistical-data-sets/price-paid-data-downloads#yearly-file Contains HM Land Registry data © Crown copyright and database right 2020. This data is licensed under the Open Government Licence v3.0.
IMD data (table2) : https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 Contains public sector information licensed under the Open Government Licence v3.0.
Postcodes Data: https://www.doogal.co.uk/UKPostcodes.php Contains OS data © Crown copyright and database rights 2020 Contains Royal Mail data © Royal Mail copyright and database rights 2020 Contains National Statistics data © Crown copyright and database rights 2020 Contains data from Wikipedia covered by the Creative Commons license
In this section we will import the cleaned data and use it to start exploring the dataset and visualizing the information inside of it.
We are now going to look a bit more at the prices in details to see how they are in the data, the mean and max values and other statistical values that can be interesting to explore and usefull to to answer the research questions:
In this section we will explore the different statistical values of the price such as the mean, the max, the min, the median and the quantiles:
To do so, we are going to summarise the table around the price and creating a whole new one containing only the newly calculated values.| Min Price | 1st quantile | Median | Mean | 3rd Quantile | Max |
|---|---|---|---|---|---|
| 1 | 152000 | 238000 | 353511 | 365000 | 411500000 |
Now let’s have a look at the density plot of the prices:
As we can see drawing the plot without limits does not help so we are going to draw it with limit on the x axis set to 10’000 and 3 millions. I have set those numbers in this way because in big cities you can find small housing for 20’000 therefore in smaller ones it might be possible to find some around 10’000. The 3 millions was set this way because you still find plenty of housing in London or other large cities around 1 to 2 millions but when you reach higher numbers those often comes with some more luxurious feature and are therefore “Prestige” housing which are on an other class.
This brings quite a lot of information for the rest of the project, in fact we have some extreme values in the dataset and those could well influence a lot our results and make the analysis way harder. In fact, the price of 411’500’000 is really high and therefore might change the results, it is needed to take this into account and extremes might need to be either aligned on a certain level or simply removed to make the analysis readable. The other strange and interesting point is the value of 1, it seems quite odd to have some real estate property costing only 1 pound, we do have to check how many small values are in the dataset to take them into account too.
We can see that we have 4296 housings over 3 millions which represent 0.46% of the complete table and 4097 housings under 10 thousands which represent 0.439% of the complete table.
In order to do a good analysis of the overall market we could maybe remove those values to do the regressions since those do not really reflect the “normal” market but extreme ones such as the most luxurious one which is cannot be compared from places to places since it’s mostly unique.
Before looking further let’s just have a look at the distribution of the sales of housing over 3 millions and under 10’000:
As we can see, the housing priced over 3 millions have the same type of distribution as when we take the overall dataset, there is nothing to really take out of this but it was important to check for pattern into this data too
While for the ones prices under 10’000 we can see that many are around 1000, to be honest I don’t really see what kind of property could be sold at that price, maybe those are rural parking spots but it is quite hard to know. the distribution is quite even and does not follow a precise rule.
We will now check if there is a difference inside of the dataset which could help to explain some things later in between new and old buildings.
First, let’s have a look at the prices and their density:
| New or old | Mean Price | Median Price |
|---|---|---|
| N | 354741 | 230000 |
| Y | 345390 | 285000 |
To better see the difference let’s look at both by comparing them via boxplots:
This is quite interesting too, we can see that in general by looking at the median prices, the newly builded housing cost more than the old one but it seems that the extremes are more often present in the old buildings. This could be explained by the fact that a lot of “Prestige” Real estate is old and therefore the mean is further from the median compared to the newly built housing. An other point is that London is an old city and one of the costliest in the world it is therefore logic that a lot of old building sales could occur there and making this trend.
| New or old | Quantity | Proportion |
|---|---|---|
| N | 811269 | 0.869 |
| Y | 122834 | 0.131 |
As we can see, there are way more old houses sold on the market than new ones which is quite logic since a lot of the territory is already built and therefore it would be odd to find more new buildings than old with such a space limit.
To check the prices a bit more let’s have a look at the details, we have 229 newly built housing that sold for over 3 millions which represent 5.331% of all the housings over that price so we therefore have 4067 old housings sold over 3 millions representing the other 94.669%.| LSOA name | Amount |
|---|---|
| Kensington and Chelsea 015C | 81 |
| City of London 001F | 41 |
| Westminster 018D | 28 |
| Westminster 016D | 26 |
| Westminster 013E | 23 |
| Westminster 019E | 20 |
| Westminster 018C | 19 |
| Westminster 019A | 18 |
| Westminster 019C | 17 |
| County Durham 063B | 15 |
| Westminster 011E | 15 |
| Bristol 032B | 14 |
| Westminster 018B | 14 |
| Kensington and Chelsea 018E | 13 |
| Westminster 019F | 13 |
| Camden 028B | 12 |
| Kensington and Chelsea 011A | 12 |
| Kensington and Chelsea 012D | 12 |
| Westminster 018A | 12 |
| Westminster 019D | 12 |
| Ealing 006A | 11 |
| Hackney 027G | 11 |
| Westminster 020A | 11 |
| Barnet 033B | 10 |
| Camden 021B | 10 |
| Kensington and Chelsea 007E | 10 |
| Kensington and Chelsea 018A | 10 |
| Westminster 011B | 10 |
| Westminster 011C | 10 |
| Camden 002E | 9 |
| City of London 001G | 9 |
| Kensington and Chelsea 008B | 9 |
| Kensington and Chelsea 012A | 9 |
| Kensington and Chelsea 012B | 9 |
| Kensington and Chelsea 012C | 9 |
| Kensington and Chelsea 018B | 9 |
| Kensington and Chelsea 019C | 9 |
| West Berkshire 011F | 9 |
| Westminster 011A | 9 |
| Westminster 013D | 9 |
| Camden 017D | 8 |
| Islington 022D | 8 |
| Islington 022H | 8 |
| Kensington and Chelsea 007B | 8 |
| Kensington and Chelsea 012E | 8 |
| Kensington and Chelsea 020B | 8 |
| Leeds 111A | 8 |
| Richmond upon Thames 003B | 8 |
| Southwark 018B | 8 |
| Westminster 013B | 8 |
| Westminster 014A | 8 |
| Westminster 014B | 8 |
| Westminster 015A | 8 |
| Wigan 006A | 8 |
| Birmingham 138A | 7 |
| Bristol 054C | 7 |
| Camden 027B | 7 |
| Eastleigh 013D | 7 |
| Kensington and Chelsea 008A | 7 |
| Kensington and Chelsea 009D | 7 |
| Kensington and Chelsea 010C | 7 |
| Kingston upon Thames 009C | 7 |
| Manchester 054C | 7 |
| Merton 002A | 7 |
| Runnymede 005D | 7 |
| Sefton 004G | 7 |
| Southampton 023B | 7 |
| Sutton 012D | 7 |
| Birmingham 033F | 6 |
| Camden 018C | 6 |
| Camden 026B | 6 |
| Camden 028C | 6 |
| Elmbridge 018B | 6 |
| Hammersmith and Fulham 010D | 6 |
| Kensington and Chelsea 011E | 6 |
| Kensington and Chelsea 013A | 6 |
| Kensington and Chelsea 014D | 6 |
| Kensington and Chelsea 017E | 6 |
| Luton 021C | 6 |
| Manchester 055B | 6 |
| Milton Keynes 014F | 6 |
| Tower Hamlets 018D | 6 |
| Trafford 002E | 6 |
| Westminster 001D | 6 |
| Westminster 003C | 6 |
| Westminster 013F | 6 |
| Wiltshire 042D | 6 |
| Windsor and Maidenhead 018A | 6 |
| Woking 008A | 6 |
| Camden 002A | 5 |
| Camden 004A | 5 |
| Camden 021A | 5 |
| Crawley 001C | 5 |
| Croydon 028D | 5 |
| Elmbridge 016A | 5 |
| Elmbridge 018D | 5 |
| Hammersmith and Fulham 020E | 5 |
| Haringey 034C | 5 |
| Havant 005D | 5 |
| Islington 013D | 5 |
| Kensington and Chelsea 006E | 5 |
| Kensington and Chelsea 010D | 5 |
| Kensington and Chelsea 016B | 5 |
| Kensington and Chelsea 016C | 5 |
| Kensington and Chelsea 016E | 5 |
| Kensington and Chelsea 018C | 5 |
| Kensington and Chelsea 018D | 5 |
| Kensington and Chelsea 019D | 5 |
| Kensington and Chelsea 019E | 5 |
| Leeds 111B | 5 |
| Manchester 052E | 5 |
| Merton 001C | 5 |
| Merton 002D | 5 |
| Northampton 028D | 5 |
| Nottingham 039B | 5 |
| Southwark 018C | 5 |
| Wandsworth 015E | 5 |
| Wandsworth 031C | 5 |
| Westminster 002A | 5 |
| Westminster 008C | 5 |
| Westminster 017B | 5 |
| Westminster 019B | 5 |
| Westminster 020C | 5 |
| Westminster 023C | 5 |
| York 013A | 5 |
| Ashfield 010A | 4 |
| Bath and North East Somerset 007A | 4 |
| Brent 027E | 4 |
| Brent 032C | 4 |
| Brighton and Hove 027G | 4 |
| Camden 002B | 4 |
| Camden 004D | 4 |
| Camden 012E | 4 |
| Camden 018E | 4 |
| Camden 022E | 4 |
| Camden 027D | 4 |
| City of London 001E | 4 |
| Coventry 031C | 4 |
| Crawley 004C | 4 |
| Ealing 034B | 4 |
| Elmbridge 013C | 4 |
| Elmbridge 016B | 4 |
| Exeter 003E | 4 |
| Hackney 014B | 4 |
| Hammersmith and Fulham 023C | 4 |
| Harborough 006D | 4 |
| Haringey 030B | 4 |
| Harlow 003E | 4 |
| Havant 014F | 4 |
| Islington 004B | 4 |
| Islington 023D | 4 |
| Kensington and Chelsea 004C | 4 |
| Kensington and Chelsea 006A | 4 |
| Kensington and Chelsea 006B | 4 |
| Kensington and Chelsea 006C | 4 |
| Kensington and Chelsea 006D | 4 |
| Kensington and Chelsea 007A | 4 |
| Kensington and Chelsea 007D | 4 |
| Kensington and Chelsea 008C | 4 |
| Kensington and Chelsea 008D | 4 |
| Kensington and Chelsea 009A | 4 |
| Kensington and Chelsea 010E | 4 |
| Kensington and Chelsea 011C | 4 |
| Kensington and Chelsea 013C | 4 |
| Kingston upon Hull 029E | 4 |
| Newcastle upon Tyne 018E | 4 |
| Newham 013H | 4 |
| Oxford 003D | 4 |
| Portsmouth 016B | 4 |
| Richmond upon Thames 008B | 4 |
| Richmond upon Thames 012C | 4 |
| Rotherham 017B | 4 |
| Runnymede 005A | 4 |
| Sheffield 073A | 4 |
| South Bucks 001A | 4 |
| South Bucks 001B | 4 |
| Southampton 022A | 4 |
| Southwark 002B | 4 |
| Southwark 002C | 4 |
| St Albans 012B | 4 |
| Thurrock 015C | 4 |
| Tower Hamlets 018C | 4 |
| Tower Hamlets 021F | 4 |
| Tunbridge Wells 008A | 4 |
| Watford 011E | 4 |
| West Dorset 011B | 4 |
| Westminster 001C | 4 |
| Westminster 002B | 4 |
| Westminster 002C | 4 |
| Westminster 008D | 4 |
| Westminster 014D | 4 |
| Westminster 017F | 4 |
| Westminster 023B | 4 |
| Windsor and Maidenhead 018B | 4 |
| Adur 005C | 3 |
| Barnet 007C | 3 |
| Barnet 035E | 3 |
| Barnet 038B | 3 |
| Barnet 039B | 3 |
| Basildon 015C | 3 |
| Bassetlaw 014E | 3 |
| Birmingham 037A | 3 |
| Bolton 022B | 3 |
| Bracknell Forest 005B | 3 |
| Brent 011A | 3 |
| Brent 029A | 3 |
| Bristol 041D | 3 |
| Broxbourne 002D | 3 |
| Camden 004B | 3 |
| Camden 004E | 3 |
| Camden 008C | 3 |
| Camden 012C | 3 |
| Camden 017C | 3 |
| Camden 023C | 3 |
| Camden 024B | 3 |
| Chelmsford 010F | 3 |
| Cheltenham 009G | 3 |
| Cheshire East 011A | 3 |
| Cheshire West and Chester 017C | 3 |
| Cheshire West and Chester 018B | 3 |
| Cornwall 007E | 3 |
| Dacorum 013B | 3 |
| Ealing 015D | 3 |
| Eastbourne 010C | 3 |
| Elmbridge 014D | 3 |
| Elmbridge 014F | 3 |
| Exeter 011G | 3 |
| Guildford 013E | 3 |
| Guildford 015A | 3 |
| Hackney 026C | 3 |
| Hackney 027F | 3 |
| Hammersmith and Fulham 001D | 3 |
| Hammersmith and Fulham 020C | 3 |
| Hammersmith and Fulham 024B | 3 |
| Haringey 030C | 3 |
| Harrow 023C | 3 |
| Havant 014A | 3 |
| Hillingdon 026D | 3 |
| Islington 005B | 3 |
| Islington 023E | 3 |
| Kensington and Chelsea 004D | 3 |
| Kensington and Chelsea 008E | 3 |
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| Kensington and Chelsea 010B | 3 |
| Kensington and Chelsea 014A | 3 |
| Kensington and Chelsea 019B | 3 |
| Kensington and Chelsea 020A | 3 |
| Kingston upon Thames 002A | 3 |
| Lambeth 003E | 3 |
| Leicester 041A | 3 |
| Leicester 041C | 3 |
| Lewisham 029A | 3 |
| Lichfield 004E | 3 |
| Manchester 057C | 3 |
| Merton 004E | 3 |
| Merton 010A | 3 |
| Merton 012A | 3 |
| Newcastle upon Tyne 024C | 3 |
| Newcastle upon Tyne 024G | 3 |
| Newham 033B | 3 |
| Northampton 024C | 3 |
| Oxford 008A | 3 |
| Oxford 015C | 3 |
| Peterborough 021F | 3 |
| Redbridge 030G | 3 |
| Reigate and Banstead 012D | 3 |
| Richmond upon Thames 001D | 3 |
| Richmond upon Thames 006A | 3 |
| Richmond upon Thames 008A | 3 |
| Richmond upon Thames 008D | 3 |
| Richmond upon Thames 012A | 3 |
| Salford 028G | 3 |
| Sevenoaks 012A | 3 |
| Sheffield 074C | 3 |
| Sheffield 075G | 3 |
| Slough 007F | 3 |
| Slough 009B | 3 |
| South Bucks 002D | 3 |
| South Gloucestershire 005A | 3 |
| South Gloucestershire 017B | 3 |
| South Gloucestershire 017F | 3 |
| South Gloucestershire 019D | 3 |
| Southampton 021C | 3 |
| Southampton 023A | 3 |
| Southwark 034D | 3 |
| Staffordshire Moorlands 010B | 3 |
| Stevenage 008D | 3 |
| Stockton-on-Tees 014C | 3 |
| Stockton-on-Tees 014E | 3 |
| Stratford-on-Avon 009B | 3 |
| Swindon 010B | 3 |
| Swindon 019E | 3 |
| Taunton Deane 006D | 3 |
| Taunton Deane 007F | 3 |
| Tewkesbury 001E | 3 |
| Tower Hamlets 004E | 3 |
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| Trafford 028D | 3 |
| Wandsworth 001D | 3 |
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| Warrington 014A | 3 |
| Welwyn Hatfield 006C | 3 |
| West Berkshire 019A | 3 |
| Westminster 001A | 3 |
| Westminster 007B | 3 |
| Westminster 012D | 3 |
| Westminster 013A | 3 |
| Westminster 014G | 3 |
| Westminster 015B | 3 |
| Westminster 017C | 3 |
| Westminster 020E | 3 |
| Wigan 013B | 3 |
| Winchester 007C | 3 |
| Winchester 013F | 3 |
| Woking 008E | 3 |
| Wokingham 006A | 3 |
| Wycombe 001B | 3 |
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| Amber Valley 015B | 2 |
| Barking and Dagenham 019E | 2 |
| Barking and Dagenham 021E | 2 |
| Barking and Dagenham 022C | 2 |
| Barnet 005B | 2 |
| Barnet 012E | 2 |
| Barnet 032B | 2 |
| Barnsley 006C | 2 |
| Bath and North East Somerset 004C | 2 |
| Bath and North East Somerset 012F | 2 |
| Bedford 018D | 2 |
| Birmingham 075D | 2 |
| Birmingham 079F | 2 |
| Birmingham 135C | 2 |
| Blaby 013B | 2 |
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| Bradford 002D | 2 |
| Bradford 020E | 2 |
| Bradford 057E | 2 |
| Brent 030A | 2 |
| Brent 032B | 2 |
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| Brighton and Hove 027C | 2 |
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| Camden 001E | 2 |
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| Camden 006D | 2 |
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| Camden 014B | 2 |
| Camden 016D | 2 |
| Camden 018D | 2 |
| Camden 023B | 2 |
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| Camden 027A | 2 |
| Canterbury 014D | 2 |
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| Derby 014B | 2 |
| Dudley 022C | 2 |
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| Islington 017C | 2 |
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| Lincoln 005A | 2 |
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| Liverpool 060C | 2 |
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| New Forest 007D | 2 |
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| North Hertfordshire 006E | 2 |
| North Somerset 004A | 2 |
| North Tyneside 015A | 2 |
| North Warwickshire 004A | 2 |
| North West Leicestershire 003C | 2 |
| Northampton 021F | 2 |
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| Nuneaton and Bedworth 003E | 2 |
| Oxford 008E | 2 |
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| Preston 013G | 2 |
| Purbeck 006G | 2 |
| Reading 011F | 2 |
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| Salford 030C | 2 |
| Sandwell 023G | 2 |
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| Sefton 014B | 2 |
| Sevenoaks 012B | 2 |
| Sheffield 007A | 2 |
| Sheffield 073D | 2 |
| Shropshire 003F | 2 |
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| Slough 011B | 2 |
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| Solihull 024D | 2 |
| Solihull 028F | 2 |
| South Bucks 003B | 2 |
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| South Cambridgeshire 016B | 2 |
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| South Gloucestershire 018G | 2 |
| South Hams 012B | 2 |
| South Lakeland 001B | 2 |
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| South Oxfordshire 019B | 2 |
| South Staffordshire 008B | 2 |
| Southampton 017D | 2 |
| Southampton 023D | 2 |
| Southampton 029E | 2 |
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| Southwark 002A | 2 |
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| Southwark 003I | 2 |
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| Southwark 009F | 2 |
| Southwark 017B | 2 |
| Southwark 033B | 2 |
| Southwark 033E | 2 |
| Stockton-on-Tees 014F | 2 |
| Stoke-on-Trent 015B | 2 |
| Stratford-on-Avon 004D | 2 |
| Stroud 001C | 2 |
| Stroud 002D | 2 |
| Sunderland 010A | 2 |
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| Surrey Heath 001B | 2 |
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| Swindon 008A | 2 |
| Test Valley 005G | 2 |
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| Thanet 014A | 2 |
| Three Rivers 006E | 2 |
| Tonbridge and Malling 003C | 2 |
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| Tower Hamlets 001C | 2 |
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| Vale of White Horse 002F | 2 |
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| Waltham Forest 022B | 2 |
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| Warwick 001C | 2 |
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| Watford 009C | 2 |
| Waverley 010A | 2 |
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| West Berkshire 010C | 2 |
| West Devon 003A | 2 |
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| Westminster 001B | 2 |
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| Westminster 012A | 2 |
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| Westminster 021C | 2 |
| Westminster 022B | 2 |
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| Wigan 013C | 2 |
| Wiltshire 012C | 2 |
| Winchester 002A | 2 |
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| Windsor and Maidenhead 005G | 2 |
| Windsor and Maidenhead 005H | 2 |
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| Windsor and Maidenhead 018F | 2 |
| Woking 001D | 2 |
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| Worcester 008C | 2 |
| Worthing 011C | 2 |
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| Wyre 009C | 2 |
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| York 006D | 2 |
| York 013I | 2 |
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| Allerdale 002D | 1 |
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| Northumberland 005A | 1 |
| Northumberland 015B | 1 |
| Northumberland 015D | 1 |
| Northumberland 019B | 1 |
| Northumberland 032C | 1 |
| Northumberland 033B | 1 |
| Norwich 001A | 1 |
| Norwich 002A | 1 |
| Norwich 005H | 1 |
| Norwich 014C | 1 |
| Nottingham 012D | 1 |
| Nottingham 023D | 1 |
| Nottingham 023F | 1 |
| Nottingham 023G | 1 |
| Nottingham 027D | 1 |
| Nottingham 028G | 1 |
| Nottingham 031H | 1 |
| Nottingham 035F | 1 |
| Nottingham 039E | 1 |
| Nuneaton and Bedworth 008B | 1 |
| Nuneaton and Bedworth 008C | 1 |
| Nuneaton and Bedworth 011A | 1 |
| Nuneaton and Bedworth 015D | 1 |
| Nuneaton and Bedworth 018E | 1 |
| Oldham 015B | 1 |
| Oldham 028A | 1 |
| Oxford 001A | 1 |
| Oxford 003C | 1 |
| Oxford 009D | 1 |
| Oxford 013F | 1 |
| Oxford 016B | 1 |
| Peterborough 009A | 1 |
| Peterborough 013B | 1 |
| Peterborough 013D | 1 |
| Peterborough 013F | 1 |
| Peterborough 014C | 1 |
| Peterborough 022D | 1 |
| Peterborough 023E | 1 |
| Plymouth 005A | 1 |
| Plymouth 005B | 1 |
| Plymouth 007E | 1 |
| Plymouth 015D | 1 |
| Plymouth 019D | 1 |
| Plymouth 024A | 1 |
| Plymouth 027E | 1 |
| Plymouth 029E | 1 |
| Poole 006E | 1 |
| Poole 008B | 1 |
| Poole 011A | 1 |
| Poole 016A | 1 |
| Poole 017A | 1 |
| Poole 017E | 1 |
| Portsmouth 002C | 1 |
| Portsmouth 004C | 1 |
| Portsmouth 004D | 1 |
| Portsmouth 008B | 1 |
| Portsmouth 008C | 1 |
| Portsmouth 011C | 1 |
| Portsmouth 018D | 1 |
| Portsmouth 024C | 1 |
| Portsmouth 025B | 1 |
| Portsmouth 026A | 1 |
| Preston 001A | 1 |
| Preston 007E | 1 |
| Preston 010A | 1 |
| Preston 010D | 1 |
| Preston 013E | 1 |
| Preston 014A | 1 |
| Purbeck 003B | 1 |
| Reading 001C | 1 |
| Reading 002A | 1 |
| Reading 007C | 1 |
| Reading 011D | 1 |
| Reading 011G | 1 |
| Reading 011H | 1 |
| Reading 011I | 1 |
| Reading 013A | 1 |
| Reading 017E | 1 |
| Reading 018C | 1 |
| Redbridge 001E | 1 |
| Redbridge 002A | 1 |
| Redbridge 007C | 1 |
| Redbridge 013C | 1 |
| Redbridge 023A | 1 |
| Redbridge 030H | 1 |
| Redcar and Cleveland 001A | 1 |
| Redcar and Cleveland 001B | 1 |
| Redcar and Cleveland 003E | 1 |
| Redcar and Cleveland 018C | 1 |
| Redditch 001C | 1 |
| Redditch 007C | 1 |
| Reigate and Banstead 007A | 1 |
| Reigate and Banstead 011C | 1 |
| Reigate and Banstead 014B | 1 |
| Reigate and Banstead 015B | 1 |
| Ribble Valley 001C | 1 |
| Ribble Valley 003D | 1 |
| Ribble Valley 008E | 1 |
| Richmond upon Thames 001A | 1 |
| Richmond upon Thames 001B | 1 |
| Richmond upon Thames 002A | 1 |
| Richmond upon Thames 002E | 1 |
| Richmond upon Thames 002F | 1 |
| Richmond upon Thames 003C | 1 |
| Richmond upon Thames 003G | 1 |
| Richmond upon Thames 004D | 1 |
| Richmond upon Thames 006C | 1 |
| Richmond upon Thames 009D | 1 |
| Richmond upon Thames 011A | 1 |
| Richmond upon Thames 012D | 1 |
| Richmond upon Thames 018C | 1 |
| Richmond upon Thames 021A | 1 |
| Richmond upon Thames 021B | 1 |
| Richmond upon Thames 021C | 1 |
| Richmond upon Thames 022B | 1 |
| Rochdale 015E | 1 |
| Rochdale 018B | 1 |
| Rochdale 018E | 1 |
| Rossendale 004G | 1 |
| Rossendale 008C | 1 |
| Rother 002A | 1 |
| Rother 003E | 1 |
| Rother 007B | 1 |
| Rotherham 008D | 1 |
| Rotherham 028C | 1 |
| Rugby 001E | 1 |
| Rugby 012C | 1 |
| Runnymede 001A | 1 |
| Runnymede 006B | 1 |
| Runnymede 007C | 1 |
| Runnymede 008A | 1 |
| Runnymede 008C | 1 |
| Rushcliffe 005A | 1 |
| Rushcliffe 006C | 1 |
| Rushmoor 005B | 1 |
| Rushmoor 010E | 1 |
| Ryedale 002A | 1 |
| Ryedale 008E | 1 |
| Salford 008C | 1 |
| Salford 022G | 1 |
| Salford 028E | 1 |
| Salford 028H | 1 |
| Salford 030E | 1 |
| Sandwell 001C | 1 |
| Sandwell 013F | 1 |
| Sandwell 016E | 1 |
| Sandwell 027D | 1 |
| Scarborough 012E | 1 |
| Scarborough 014G | 1 |
| Sedgemoor 001E | 1 |
| Sedgemoor 002F | 1 |
| Sedgemoor 014F | 1 |
| Sefton 002B | 1 |
| Sefton 013B | 1 |
| Sefton 016A | 1 |
| Sefton 027A | 1 |
| Sefton 032C | 1 |
| Selby 004E | 1 |
| Sevenoaks 002D | 1 |
| Sevenoaks 003B | 1 |
| Sevenoaks 004B | 1 |
| Sevenoaks 012F | 1 |
| Sevenoaks 015C | 1 |
| Sheffield 005C | 1 |
| Sheffield 014E | 1 |
| Sheffield 017C | 1 |
| Sheffield 018A | 1 |
| Sheffield 022D | 1 |
| Sheffield 026A | 1 |
| Sheffield 027A | 1 |
| Sheffield 032E | 1 |
| Sheffield 036A | 1 |
| Sheffield 036E | 1 |
| Sheffield 040E | 1 |
| Sheffield 040F | 1 |
| Sheffield 050D | 1 |
| Sheffield 068E | 1 |
| Sheffield 074A | 1 |
| Shepway 014C | 1 |
| Shropshire 002C | 1 |
| Shropshire 005A | 1 |
| Shropshire 010D | 1 |
| Shropshire 015E | 1 |
| Shropshire 034A | 1 |
| Slough 003B | 1 |
| Slough 007D | 1 |
| Slough 009D | 1 |
| Slough 009F | 1 |
| Slough 009G | 1 |
| Slough 010C | 1 |
| Slough 013E | 1 |
| Slough 014D | 1 |
| Solihull 009B | 1 |
| Solihull 016B | 1 |
| Solihull 022E | 1 |
| Solihull 028E | 1 |
| Solihull 029D | 1 |
| South Bucks 004D | 1 |
| South Bucks 005D | 1 |
| South Bucks 006D | 1 |
| South Bucks 007A | 1 |
| South Bucks 008F | 1 |
| South Cambridgeshire 006C | 1 |
| South Cambridgeshire 007C | 1 |
| South Cambridgeshire 009A | 1 |
| South Cambridgeshire 012C | 1 |
| South Cambridgeshire 017C | 1 |
| South Cambridgeshire 017D | 1 |
| South Cambridgeshire 017E | 1 |
| South Cambridgeshire 017F | 1 |
| South Cambridgeshire 018E | 1 |
| South Cambridgeshire 020B | 1 |
| South Derbyshire 001C | 1 |
| South Derbyshire 001D | 1 |
| South Derbyshire 003D | 1 |
| South Derbyshire 009B | 1 |
| South Gloucestershire 009E | 1 |
| South Gloucestershire 011C | 1 |
| South Gloucestershire 011D | 1 |
| South Gloucestershire 011G | 1 |
| South Gloucestershire 021A | 1 |
| South Gloucestershire 022C | 1 |
| South Gloucestershire 028A | 1 |
| South Gloucestershire 029C | 1 |
| South Hams 004B | 1 |
| South Hams 005F | 1 |
| South Hams 008A | 1 |
| South Hams 009D | 1 |
| South Holland 004A | 1 |
| South Kesteven 008A | 1 |
| South Lakeland 001C | 1 |
| South Lakeland 007C | 1 |
| South Lakeland 012B | 1 |
| South Northamptonshire 001D | 1 |
| South Northamptonshire 005E | 1 |
| South Northamptonshire 011B | 1 |
| South Oxfordshire 006C | 1 |
| South Oxfordshire 009A | 1 |
| South Oxfordshire 017D | 1 |
| South Oxfordshire 018A | 1 |
| South Oxfordshire 018D | 1 |
| South Oxfordshire 019C | 1 |
| South Ribble 005A | 1 |
| South Ribble 013C | 1 |
| South Ribble 016D | 1 |
| South Somerset 001C | 1 |
| South Somerset 005B | 1 |
| South Somerset 005D | 1 |
| South Somerset 022A | 1 |
| South Somerset 022D | 1 |
| South Staffordshire 012C | 1 |
| South Staffordshire 013A | 1 |
| South Staffordshire 013B | 1 |
| South Tyneside 007B | 1 |
| South Tyneside 009A | 1 |
| South Tyneside 010B | 1 |
| Southampton 014D | 1 |
| Southampton 020A | 1 |
| Southampton 020B | 1 |
| Southampton 020D | 1 |
| Southampton 022B | 1 |
| Southampton 022F | 1 |
| Southampton 023C | 1 |
| Southampton 029F | 1 |
| Southend-on-Sea 002E | 1 |
| Southend-on-Sea 015B | 1 |
| Southwark 002D | 1 |
| Southwark 003E | 1 |
| Southwark 006F | 1 |
| Southwark 010E | 1 |
| Southwark 014F | 1 |
| Southwark 015A | 1 |
| Southwark 021D | 1 |
| Southwark 026D | 1 |
| Southwark 028A | 1 |
| Spelthorne 001A | 1 |
| Spelthorne 004A | 1 |
| Spelthorne 004C | 1 |
| Spelthorne 010C | 1 |
| St Albans 003A | 1 |
| St Albans 003C | 1 |
| St Albans 005B | 1 |
| St Albans 007B | 1 |
| St Albans 009B | 1 |
| St Albans 013C | 1 |
| St Albans 017D | 1 |
| St Edmundsbury 004C | 1 |
| St Edmundsbury 006A | 1 |
| St Edmundsbury 009C | 1 |
| St Edmundsbury 014E | 1 |
| St. Helens 004B | 1 |
| St. Helens 010B | 1 |
| St. Helens 014C | 1 |
| St. Helens 015D | 1 |
| St. Helens 019G | 1 |
| St. Helens 019J | 1 |
| Stafford 006C | 1 |
| Stafford 010B | 1 |
| Stafford 012B | 1 |
| Stevenage 002B | 1 |
| Stevenage 011D | 1 |
| Stockport 007C | 1 |
| Stockport 007D | 1 |
| Stockport 010E | 1 |
| Stockport 011B | 1 |
| Stockport 020D | 1 |
| Stockport 022A | 1 |
| Stockport 031D | 1 |
| Stockport 035D | 1 |
| Stockton-on-Tees 002E | 1 |
| Stockton-on-Tees 014G | 1 |
| Stoke-on-Trent 002D | 1 |
| Stoke-on-Trent 023D | 1 |
| Stoke-on-Trent 026D | 1 |
| Stoke-on-Trent 033A | 1 |
| Stratford-on-Avon 004E | 1 |
| Stratford-on-Avon 010E | 1 |
| Stratford-on-Avon 014A | 1 |
| Stroud 002A | 1 |
| Suffolk Coastal 007I | 1 |
| Suffolk Coastal 008B | 1 |
| Suffolk Coastal 011A | 1 |
| Suffolk Coastal 015A | 1 |
| Sunderland 007A | 1 |
| Sunderland 020F | 1 |
| Sunderland 026E | 1 |
| Sunderland 029C | 1 |
| Surrey Heath 001D | 1 |
| Surrey Heath 001E | 1 |
| Surrey Heath 001F | 1 |
| Surrey Heath 002B | 1 |
| Surrey Heath 002C | 1 |
| Surrey Heath 005E | 1 |
| Surrey Heath 008D | 1 |
| Surrey Heath 010A | 1 |
| Surrey Heath 012D | 1 |
| Sutton 011A | 1 |
| Sutton 018C | 1 |
| Sutton 019C | 1 |
| Sutton 022B | 1 |
| Sutton 024C | 1 |
| Swale 010E | 1 |
| Swale 013C | 1 |
| Swindon 005B | 1 |
| Swindon 008B | 1 |
| Swindon 009B | 1 |
| Swindon 012B | 1 |
| Swindon 012F | 1 |
| Swindon 014A | 1 |
| Swindon 014D | 1 |
| Swindon 017A | 1 |
| Swindon 023F | 1 |
| Swindon 028B | 1 |
| Tameside 002A | 1 |
| Tameside 013B | 1 |
| Tameside 016A | 1 |
| Tameside 020A | 1 |
| Tameside 030D | 1 |
| Tamworth 002A | 1 |
| Tandridge 002D | 1 |
| Tandridge 004D | 1 |
| Tandridge 012C | 1 |
| Taunton Deane 007D | 1 |
| Taunton Deane 009D | 1 |
| Taunton Deane 010B | 1 |
| Taunton Deane 011E | 1 |
| Taunton Deane 012A | 1 |
| Taunton Deane 014B | 1 |
| Teignbridge 001D | 1 |
| Teignbridge 002B | 1 |
| Teignbridge 003C | 1 |
| Teignbridge 010B | 1 |
| Telford and Wrekin 009A | 1 |
| Telford and Wrekin 023A | 1 |
| Tendring 008G | 1 |
| Tendring 013A | 1 |
| Tendring 014E | 1 |
| Tendring 018E | 1 |
| Test Valley 002A | 1 |
| Test Valley 003B | 1 |
| Test Valley 004E | 1 |
| Tewkesbury 001D | 1 |
| Tewkesbury 003B | 1 |
| Tewkesbury 003D | 1 |
| Tewkesbury 004A | 1 |
| Tewkesbury 006B | 1 |
| Thanet 002D | 1 |
| Thanet 008D | 1 |
| Thanet 011B | 1 |
| Thanet 011C | 1 |
| Thanet 012B | 1 |
| Three Rivers 011B | 1 |
| Three Rivers 011C | 1 |
| Three Rivers 012D | 1 |
| Thurrock 005A | 1 |
| Thurrock 013B | 1 |
| Thurrock 018A | 1 |
| Tonbridge and Malling 002G | 1 |
| Tonbridge and Malling 005E | 1 |
| Tonbridge and Malling 006B | 1 |
| Tonbridge and Malling 010A | 1 |
| Tonbridge and Malling 012D | 1 |
| Torbay 002A | 1 |
| Torbay 005C | 1 |
| Torbay 014A | 1 |
| Tower Hamlets 003C | 1 |
| Tower Hamlets 005C | 1 |
| Tower Hamlets 010F | 1 |
| Tower Hamlets 014A | 1 |
| Tower Hamlets 016A | 1 |
| Tower Hamlets 017B | 1 |
| Tower Hamlets 018A | 1 |
| Tower Hamlets 022D | 1 |
| Tower Hamlets 023C | 1 |
| Tower Hamlets 024A | 1 |
| Tower Hamlets 026B | 1 |
| Tower Hamlets 027A | 1 |
| Tower Hamlets 028A | 1 |
| Tower Hamlets 028I | 1 |
| Tower Hamlets 033B | 1 |
| Trafford 011D | 1 |
| Trafford 019A | 1 |
| Trafford 019B | 1 |
| Trafford 024C | 1 |
| Trafford 027B | 1 |
| Trafford 027C | 1 |
| Trafford 028A | 1 |
| Trafford 028C | 1 |
| Tunbridge Wells 003B | 1 |
| Tunbridge Wells 004B | 1 |
| Tunbridge Wells 004E | 1 |
| Tunbridge Wells 005D | 1 |
| Tunbridge Wells 006B | 1 |
| Tunbridge Wells 008B | 1 |
| Tunbridge Wells 008C | 1 |
| Tunbridge Wells 012D | 1 |
| Uttlesford 005A | 1 |
| Uttlesford 006B | 1 |
| Vale of White Horse 006H | 1 |
| Vale of White Horse 010C | 1 |
| Vale of White Horse 010D | 1 |
| Vale of White Horse 010E | 1 |
| Vale of White Horse 014B | 1 |
| Vale of White Horse 015B | 1 |
| Vale of White Horse 015D | 1 |
| Vale of White Horse 016E | 1 |
| Wakefield 005B | 1 |
| Wakefield 009D | 1 |
| Wakefield 012C | 1 |
| Wakefield 014A | 1 |
| Wakefield 015B | 1 |
| Wakefield 024A | 1 |
| Wakefield 028A | 1 |
| Wakefield 031D | 1 |
| Wakefield 038D | 1 |
| Walsall 027A | 1 |
| Walsall 038A | 1 |
| Waltham Forest 002B | 1 |
| Waltham Forest 004C | 1 |
| Waltham Forest 013D | 1 |
| Waltham Forest 014E | 1 |
| Waltham Forest 024C | 1 |
| Wandsworth 002B | 1 |
| Wandsworth 006D | 1 |
| Wandsworth 007D | 1 |
| Wandsworth 008E | 1 |
| Wandsworth 010A | 1 |
| Wandsworth 010B | 1 |
| Wandsworth 011E | 1 |
| Wandsworth 012A | 1 |
| Wandsworth 016A | 1 |
| Wandsworth 016D | 1 |
| Wandsworth 017A | 1 |
| Wandsworth 019A | 1 |
| Wandsworth 020B | 1 |
| Wandsworth 021B | 1 |
| Wandsworth 021E | 1 |
| Wandsworth 022D | 1 |
| Wandsworth 023D | 1 |
| Wandsworth 024D | 1 |
| Wandsworth 025A | 1 |
| Wandsworth 027A | 1 |
| Wandsworth 027E | 1 |
| Wandsworth 031D | 1 |
| Wandsworth 033D | 1 |
| Wandsworth 035A | 1 |
| Wandsworth 037C | 1 |
| Warrington 003C | 1 |
| Warrington 004C | 1 |
| Warrington 006E | 1 |
| Warrington 009B | 1 |
| Warrington 009C | 1 |
| Warrington 013B | 1 |
| Warrington 016A | 1 |
| Warrington 021C | 1 |
| Warrington 023C | 1 |
| Warrington 023E | 1 |
| Warrington 024A | 1 |
| Warwick 005B | 1 |
| Warwick 005G | 1 |
| Warwick 011H | 1 |
| Warwick 012A | 1 |
| Warwick 012E | 1 |
| Watford 005A | 1 |
| Watford 006D | 1 |
| Watford 009A | 1 |
| Watford 009D | 1 |
| Watford 012B | 1 |
| Waverley 001B | 1 |
| Waverley 004D | 1 |
| Waverley 007D | 1 |
| Waverley 011B | 1 |
| Waverley 012A | 1 |
| Waverley 012D | 1 |
| Waverley 015B | 1 |
| Waverley 015D | 1 |
| Waverley 015E | 1 |
| Waverley 018C | 1 |
| Waverley 018D | 1 |
| Wealden 001B | 1 |
| Wealden 014E | 1 |
| Wealden 016D | 1 |
| Wealden 018D | 1 |
| Wellingborough 003D | 1 |
| Wellingborough 005A | 1 |
| Wellingborough 007A | 1 |
| Welwyn Hatfield 001C | 1 |
| Welwyn Hatfield 007A | 1 |
| Welwyn Hatfield 015B | 1 |
| Welwyn Hatfield 016A | 1 |
| West Berkshire 001A | 1 |
| West Berkshire 002C | 1 |
| West Berkshire 005B | 1 |
| West Berkshire 006A | 1 |
| West Berkshire 009D | 1 |
| West Berkshire 011B | 1 |
| West Berkshire 013A | 1 |
| West Berkshire 019B | 1 |
| West Dorset 001B | 1 |
| West Dorset 004E | 1 |
| West Lancashire 004D | 1 |
| West Lancashire 011A | 1 |
| West Oxfordshire 002A | 1 |
| West Oxfordshire 003C | 1 |
| West Oxfordshire 010E | 1 |
| West Oxfordshire 011C | 1 |
| West Oxfordshire 012C | 1 |
| Westminster 003A | 1 |
| Westminster 003B | 1 |
| Westminster 003E | 1 |
| Westminster 005C | 1 |
| Westminster 006C | 1 |
| Westminster 007E | 1 |
| Westminster 007F | 1 |
| Westminster 008B | 1 |
| Westminster 009F | 1 |
| Westminster 009H | 1 |
| Westminster 009I | 1 |
| Westminster 011D | 1 |
| Westminster 012C | 1 |
| Westminster 014F | 1 |
| Westminster 015C | 1 |
| Westminster 015E | 1 |
| Westminster 016C | 1 |
| Westminster 017A | 1 |
| Westminster 020B | 1 |
| Westminster 021E | 1 |
| Westminster 023D | 1 |
| Westminster 023E | 1 |
| Weymouth and Portland 002B | 1 |
| Weymouth and Portland 003D | 1 |
| Wigan 013E | 1 |
| Wigan 017C | 1 |
| Wigan 019E | 1 |
| Wigan 021E | 1 |
| Wigan 024D | 1 |
| Wigan 026D | 1 |
| Wigan 027B | 1 |
| Wigan 031E | 1 |
| Wigan 036E | 1 |
| Wigan 038C | 1 |
| Wiltshire 007E | 1 |
| Wiltshire 007G | 1 |
| Wiltshire 011D | 1 |
| Wiltshire 012A | 1 |
| Wiltshire 012B | 1 |
| Wiltshire 019A | 1 |
| Wiltshire 022B | 1 |
| Wiltshire 022D | 1 |
| Wiltshire 023A | 1 |
| Wiltshire 023C | 1 |
| Wiltshire 024D | 1 |
| Wiltshire 025C | 1 |
| Wiltshire 026B | 1 |
| Wiltshire 048D | 1 |
| Wiltshire 050A | 1 |
| Wiltshire 058C | 1 |
| Wiltshire 062A | 1 |
| Winchester 004A | 1 |
| Winchester 004E | 1 |
| Winchester 005C | 1 |
| Winchester 006A | 1 |
| Winchester 006B | 1 |
| Winchester 006D | 1 |
| Winchester 009C | 1 |
| Winchester 011B | 1 |
| Winchester 012F | 1 |
| Winchester 013A | 1 |
| Winchester 013D | 1 |
| Winchester 014D | 1 |
| Windsor and Maidenhead 002B | 1 |
| Windsor and Maidenhead 002G | 1 |
| Windsor and Maidenhead 004E | 1 |
| Windsor and Maidenhead 005B | 1 |
| Windsor and Maidenhead 005D | 1 |
| Windsor and Maidenhead 009E | 1 |
| Windsor and Maidenhead 010A | 1 |
| Windsor and Maidenhead 011A | 1 |
| Windsor and Maidenhead 015A | 1 |
| Windsor and Maidenhead 017B | 1 |
| Windsor and Maidenhead 017D | 1 |
| Wirral 016A | 1 |
| Wirral 018D | 1 |
| Woking 003A | 1 |
| Woking 004E | 1 |
| Woking 006B | 1 |
| Woking 006C | 1 |
| Wokingham 001A | 1 |
| Wokingham 002E | 1 |
| Wokingham 006B | 1 |
| Wokingham 009C | 1 |
| Wokingham 011D | 1 |
| Wokingham 012H | 1 |
| Wokingham 013C | 1 |
| Wokingham 017B | 1 |
| Wolverhampton 001B | 1 |
| Wolverhampton 009B | 1 |
| Wolverhampton 012C | 1 |
| Wolverhampton 012D | 1 |
| Wolverhampton 018E | 1 |
| Wolverhampton 027A | 1 |
| Wolverhampton 032B | 1 |
| Wolverhampton 034A | 1 |
| Worcester 003A | 1 |
| Worcester 007C | 1 |
| Worcester 011E | 1 |
| Worcester 012A | 1 |
| Worthing 009A | 1 |
| Wychavon 007B | 1 |
| Wycombe 002A | 1 |
| Wycombe 003D | 1 |
| Wycombe 006B | 1 |
| Wycombe 015E | 1 |
| Wycombe 020B | 1 |
| Wycombe 023A | 1 |
| Wycombe 023B | 1 |
| Wycombe 024C | 1 |
| Wyre 007C | 1 |
| Wyre Forest 012E | 1 |
| York 003B | 1 |
| York 007B | 1 |
| York 011B | 1 |
| York 013C | 1 |
| York 013G | 1 |
By browsing through the table we can see that a lost of the buildings are coming from the greater region of London (Westminster, chelsea, city of London, etc) but not only and some other regions still have a few housing that were sold for over 3 millions.
| Housing type | Mean price | Median price |
|---|---|---|
| D | 420082 | 345000 |
| F | 304942 | 212500 |
| O | 1213602 | 268000 |
| S | 259309 | 215000 |
| T | 243095 | 183000 |
This is maybe one of the most interesting thing as of right now, we can see there that Semi-detached (S), Flats (F), and Terraced(T) housing follow the same logic and seem to be quite well distributed since the mean is more or less close to the median. Detached (D) housings are following the same logic but have, as it could be expected more pricey.
The key point here is the Other category which shows where it seems that we have most of the extremes, this could well be explained by the fact that this category might have the big apartments buildings inside of it which would explain the max value seem earlier of 411’500’000.
Just for the number, let’s check how many observations have a price over 3 millions for the other category and it’s proportion:
Unsurprisingly this category alone has 3050 representing 0.71% of the whole number of buildings over 3 millions which confirm in a way what was told before, there is sadly no data to be 100% sure about the fact that those are apartment buildings but the odds are high that this is the case.
Now, let’s check the distribution of the housign types in the new and old categries:
As we can see, the market is a bit different in what we build compare to what we have built until now, development of big cities push to mainly develop flats in them while people who are running away from those same cities want to have privacy and therefore ask for detached housing which leads to lower construction of semi-detached and Terraced housings.
In the dataset we have information about the way housing were bought, freehold meaning that the buyers owns the land and leasehold meaning that the buyer have the right from the landlord to live on his plot for a certain amount of time. Here his the table with the density plot and the distribution of them:
| Freehold or Leasehold | Mean Price | Median Price |
|---|---|---|
| F | 361321 | 250000 |
| L | 328158 | 193000 |
| Freehold or Leasehold | Quantity | Proportion |
|---|---|---|
| F | 714124 | 0.765 |
| L | 219979 | 0.235 |
As we can clearly see, around three quarters of the properties are bought as freehold, and the last quarter as leasehold. Quite logically, in general freehold properties cost more than leasehold since the plot comes with the building itself. But what’s their distribution in terms on new and old?
As we can see, the proportion of leasehold is higher in the newly built housings, this may be due to the fact that the prices have increased since the 2008 crisis and to be able to sell more easily the buildings, the leasehold help decreasing the price and therefore reduce the price a little bit. And what about the types of housings?
Here we have the complete answer, most of the leasehold happens in the flats, meaning that the landlords decided to let someone build an apartment building on their plot while still keeping it, it is not uncommon since most of the old flats are the same. The key point is that the fact that the proportion of newly built homes as leasehold is higher that for old ones comes from what we are building today.
Even thought as we have seen earlier we build more detached houses than flats, the proportion is nearly the same while in the old building market the proportion of detached is quite higher, therefore this leads to a larger share of leasehold in the newly built market.
Just by curiosity, one interesting thing to explore is the evolution of the mean and median prices during the year which can be seen in the graph here:
As we can see, at least for monthly data, it does not seem to have any real trend on the evolution of prices during the year now let’s look at the evolution of the number of sales: This time we have a bit more information, it seems that more sales, not a lot more but stil, are occurring in the second part of the year compared to the first part this could be explained by the fact that many people are either hard working around the beginning of the year to make the company statements or recovering from the winter holidays and therefore less interested into buying new houses.But is this the same for both old and new housings, let’s find out:
As we can see here, it does not seem to have the same logic when looking at newly built buildings, those are quite better distributed compared to the old ones that still seems to be bought a bit more often at the end of the year. This may therefore be caused by fiscality purposes more than for delivering the housing to a client.
In the new buildings we just have 2 small peaks that are in june and december, the june one might be due to the fact that the good weather accelerate the delivery and the december one is certainly due to the will to deliver for the new year.
| IMD decile | Quantity |
|---|---|
| 1 | 66573 |
| 2 | 76508 |
| 3 | 86452 |
| 4 | 93002 |
| 5 | 98857 |
| 6 | 104031 |
| 7 | 103297 |
| 8 | 105076 |
| 9 | 102228 |
| 10 | 98079 |
This result is quite unsurprising but at least gives good information about how the market is working.
In this part we are going to start looking at the datas in order to answer the reasearch question and give the answer at the end.
Here the objective is to have a look at different component from de deprivation index and their effect on the prices to see which ones have the most and the least effect.
#> Income_rank Employment_rank Crime_rank Health_Deprivation_rank
#> Income_rank 1.000 0.941 0.627 0.792
#> Employment_rank 0.941 1.000 0.572 0.836
#> Crime_rank 0.627 0.572 1.000 0.588
#> Health_Deprivation_rank 0.792 0.836 0.588 1.000
As we can see Employment and income are highly correlated, we will therefore only look at one of them in the following analysis. This analysis will be executed with the deciles and not the rank for a simple reason, that will reduce the x axis nd make the picture easier to look at.
Before even showing any regression line, I have to say that I am only going to prin the line itself and will avoid bringing all the 900’000 points on each graphics to lower the calculation time and in any way, so many points would only make the graphic having a dark theme more than bringing any important information.
We will first look at the Income , its regression and correlation information:
As we can see, at first sight we have a relationship which is positive, meaning that when the revenue rank or score increase, the Price of the housing increase too. it is a logical relatonship in the way that people have more money and therefore are ready to pay more to have a better home.
#>
#> Pearson's product-moment correlation
#>
#> data: Final_analysis_table$Price and Final_analysis_table$Income_decile
#> t = 48, df = 934101, p-value <2e-16
#> alternative hypothesis: true correlation is not equal to 0
#> 95 percent confidence interval:
#> 0.0472 0.0513
#> sample estimates:
#> cor
#> 0.0492
As we can see, the correlation is really low, explaining only 4% of the evolution but the p-value is really low meaning that it is still statistically significant. It is therefore not to throw but it could clearly not be used all alone to explain anything.
With this model we have a intercept of 174839 and a slope of 30596 by decile which is quite a lot when you think about it. Even though the intercept is still quite higher than the minimum price we ca find in the most deprived area by looking at the tables for the 2nd question.
Now let’s have a look at the same things but for the crime decile:
We have again a positive relationship but this time it seems to be flatter than before. It does have a link but it looks like this time it is even lower than what it was for the income. lets find out by looking at the correlation informations:
#>
#> Pearson's product-moment correlation
#>
#> data: Final_analysis_table$Price and Final_analysis_table$Crime_decile
#> t = 21, df = 934101, p-value <2e-16
#> alternative hypothesis: true correlation is not equal to 0
#> 95 percent confidence interval:
#> 0.0198 0.0239
#> sample estimates:
#> cor
#> 0.0218
Once again the correlation is low, this time even lower being around 2%, but again the p-value is extremely low therefore this is still statistically significant but could hardly be used alone to explain anything. Still lets check the slope and itnercept of this:
With this model we have a intercept of 279841 and a slope of 12980 by decile which is not that much this time, it looks like the relationship is more complex. In fact crimes are happening a lot in wealthy areas too and therefore the crime ranking will be quite different from the Income one. This could be explored further by maybe looking at which crime type has a link and which has not in further research.
Let’s now check for the health levels :
We do have again a positive relationship which seems, visually at least to be quite similar to the one we had with the income. Let’s look once again at the correlation values:
#>
#> Pearson's product-moment correlation
#>
#> data: Final_analysis_table$Price and Final_analysis_table$Health_Deprivation_decile
#> t = 69, df = 934101, p-value <2e-16
#> alternative hypothesis: true correlation is not equal to 0
#> 95 percent confidence interval:
#> 0.0695 0.0736
#> sample estimates:
#> cor
#> 0.0716
This time the correlation is a bit higher, around 7% and the p-value still indicate a that this is statistically significant which is quite interesting.
With this model we have a intercept of 105956 and a slope of 43209. This time it is closer to the values we have in the reality in terms of minimas and maximas even though it is not really perfect either.
To conclude for this question, there is an effect for each of the ranking we looked about sadly the effect is not that big, the key point to take here is the fact that at least when we look at this dataset the p-value is extremely low, therefore even though we are not explaining a lot of the variation with each one of the variables those could be included inside a model with the volume and other classical aspect from housing to create some more precise models. But this should still be analyzed by potential further research.
| IMD decile | Minimum price | 1st quantile | Median price | mean price | 3rd quantile | Maximum price |
|---|---|---|---|---|---|---|
| 1 | 100 | 75000 | 113000 | 166090 | 162500 | 56700000 |
| 2 | 100 | 104000 | 152000 | 252012 | 239950 | 95000000 |
| 3 | 1 | 122500 | 182000 | 318627 | 295000 | 276570000 |
| 4 | 100 | 140000 | 206000 | 319421 | 315000 | 145000000 |
| 5 | 100 | 159950 | 232000 | 345599 | 345000 | 315000000 |
| 6 | 100 | 172000 | 250000 | 371628 | 374000 | 262890000 |
| 7 | 100 | 181500 | 262995 | 399046 | 382500 | 337000000 |
| 8 | 1 | 192000 | 275000 | 401738 | 400000 | 139480000 |
| 9 | 100 | 210000 | 296000 | 407304 | 430000 | 103050000 |
| 10 | 1 | 250000 | 350000 | 456046 | 502500 | 411500000 |
Let’s just plot that and then we will speak about it, we are not going to put the min and the max in the plt since this is not bringing that much to the analysis.
As it is nicely shown in the graph, the less deprived an area is in general, the higher the price is, it is quite logic but I would have though that some values could have been way closer than what they are because even if people are quite poor you can find some wealthy investment in the same area but this is not even really shown in this result. We can see this logic a little bit by looking at the mean and the 3rd quantile, they cross each other and the 3rd quantile is higher than the mean only for the 3 last deciles meaning that in the other deciles, the extremes have more “power” and move the mean higher than in the less deprived areas.
If we really look at the prices in the table, we can see that in all columns in between the least an and the most deprived we have a factor of 3 to 5 times the price going for example from 160 thousands up to 500 thousands for the 3rd quantile which is really impressive. What is more, we can see that the 1st quantile of the least deprived ares is at 250 thousands while as I just said, the 3rd quantile of the most deprived area is at 160 thousands, meaning that most of the 25 cheapest percent of the least deprived area housings cost more than the 25% most expensive ones in the highly deprived areas.
To conclude for this question,I believe that we can really see a link between the IMD and the price of the housing in a region. It is, in the end something that is logic but I am quite surprised by the level of this link.
In order to answer this question we need to visualize the type of housing sold by LSOA:
As we can clearly see d have differences in what is sold in the different IMD levels. It seems that most of the sales from the least deprived area are detached and semi-detached housings while in the most deprived ones we have a lot of flats and terraced housings.
This is interesting in the way that it explains part of the price difference because as we saw in the EDA part, the price of the detached housing is generally higher than the price of the other housings. It does not explain the full difference but at least help to understand it a bit better. Let’s look at the distribution of prices by type of housing in the most and least deprived areas to have a really clear view:
| IMD decile | Housing tpe | 1st quantile | Median price | mean price | 3rd quantile |
|---|---|---|---|---|---|
| 1 | D | 160000 | 199950 | 220842 | 250000 |
| 1 | F | 72000 | 105795 | 157357 | 165000 |
| 1 | O | 70000 | 150000 | 573441 | 375000 |
| 1 | S | 99500 | 130000 | 139625 | 165995 |
| 1 | T | 65000 | 90000 | 107731 | 135000 |
| 10 | D | 329950 | 438000 | 536146 | 615000 |
| 10 | F | 170000 | 240000 | 308310 | 335000 |
| 10 | O | 150000 | 375000 | 1263185 | 820000 |
| 10 | S | 232500 | 315000 | 362471 | 425000 |
| 10 | T | 214000 | 287500 | 348976 | 395000 |
Although at first we could have though that the price link seen at the question 2 was due to the different type of housing we just looked at, it seems that by looking at this table, that part of this difference is coming more from the other types of housings where the prices have way bigger differences than the detached houses ones.
To conclude this question. We do have different “housing consumption” depending on the level of deprivation from the people which was quite logic in some way but it helps understanding more about the market.
To answer this question we need to visualize the number of new building sold by IMD decile:
| IMD decile | New or old | Count |
|---|---|---|
| 1 | Y | 7752 |
| 2 | Y | 9662 |
| 3 | Y | 11547 |
| 4 | Y | 10308 |
| 5 | Y | 13139 |
| 6 | Y | 13746 |
| 7 | Y | 14065 |
| 8 | Y | 14875 |
| 9 | Y | 13348 |
| 10 | Y | 14392 |
Here we can clearly see that the majority of newly built housings are done in “mediumly” to lightly deprived areas since decile 5 to 10 have nearly all 2 times more newly built housing that were sold compared to the decile 1 which is the most deprived where there is quite a lot less new developments or at least it seems to be the case in the number of sales. This is logic in the way that those regions generally have way less money available but we could have thought that many developers would try to profit from those areas to transform them into better places and modify the city to make it look cleaner. This does not seem to happen and developers are or at least seemed to have played it quite safely by developing mainly into less deprived area that are looking better in the eyes of the buyers.
This project was a great chance offered by the professor to work for the first time of my life on such a scale. It was quite challenging but very rewarding in terms of knowledge and understanding. It made me realize hat working with large dataset is really hard and even when they are properly cleaned we need to be aware that each thing we want to do may take quite some times, especially in my case with my 5 years old PC which, to be honest feel to be slower and slower especially when I was asking him to plot a million points on a graphic. This project made me more confident in my use of R and helped me quite a lot in learning this tool. And hopefully will help me pushing even further in the subject. I sadly did not find the time to try to do some modelisation but with the data I had this would have surely not brought that much since the few variables I had to try to predict the prices were not explaining enough of it to have something really precise.
About the results now, to be honest I was at first awaiting a bit more from the regression around the different variables. Now that I had the possibility to look at it it seems clear why they do not explain as much as I was hoping since in realty the major factors that guides the pricing of real estate are the size and built quality of them and the surrounding area is more or less the cherry on the cake. Although I still believe that those data could be used in modeling the market in a more precise way.
About limitations, the main issue of this work is the fact that we are only looking at one year, meaning that to be sure about the links we should look at them over the course of a larger period of time. This could be part of future research as well as doing for instance a more precise analysis of the crime levels ad which crimes affect the most the prices to be able to control this since crimes can go from “simple” harassment up to physical violence which would certainly not have the same effect on the prices.
In this section I’ll show and explain the code to create the map. For this map I used some shapefiles coming from https://borders.ukdataservice.ac.uk/ukborders/easy_download/prebuilt/shape/England_lsoa_2011_sgen_clipped.zip we are using the full file without any reduction which gives the most precision in the output.
I first load the datas from the IMD and tidy them again, since the code is coming before the data section I need to do this otherwise there would be an issue.
#check appendix to understand the code
IMD <-
read.csv(here::here("data/Domains_of_Deprivation_by_LSOA.csv"))
IMD <- as_tibble(IMD)
IMD <- IMD %>%
rename(
LSOA_code = ï..LSOA.code..2011.,
LSOA_name = LSOA.name..2011.,
IMD_rank = Index.of.Multiple.Deprivation..IMD..Rank..where.1.is.most.deprived.,
IMD_decile = Index.of.Multiple.Deprivation..IMD..Decile..where.1.is.most.deprived.10..of.LSOAs.,
Income_rank = Income.Rank..where.1.is.most.deprived.,
Income_decile = Income.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Employment_rank = Employment.Rank..where.1.is.most.deprived.,
Employment_decile = Employment.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Crime_rank = Crime.Rank..where.1.is.most.deprived.,
Crime_decile = Crime.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Living_Environment_rank = Living.Environment.Rank..where.1.is.most.deprived.,
Living_Environment_Decile = Living.Environment.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Health_Deprivation_rank = Health.Deprivation.and.Disability.Rank..where.1.is.most.deprived.,
Health_Deprivation_decile = Health.Deprivation.and.Disability.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Local_Authority_Name = Local.Authority.District.name..2019.,
Skill_rank = Education..Skills.and.Training.Rank..where.1.is.most.deprived.,
Skill_decile = Education..Skills.and.Training.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Barrier_to_Housing_Rank = Barriers.to.Housing.and.Services.Rank..where.1.is.most.deprived.,
Barrier_to_Housing_Decile = Barriers.to.Housing.and.Services.Decile..where.1.is.most.deprived.10..of.LSOAs.,
Local_Authority_code = Local.Authority.District.code..2019.
)
IMD_tidy <- IMD %>%
select(
LSOA_code,
LSOA_name,
IMD_rank,
IMD_decile,
Income_rank,
Income_decile,
Employment_rank,
Employment_decile,
Crime_rank,
Crime_decile,
Health_Deprivation_rank,
Health_Deprivation_decile,
Skill_rank,
Skill_decile
)%>%
#deleting spaces to avoir creation of NA for the next part
mutate(IMD_rank = gsub(" ", "", IMD_rank),
IMD_decile = gsub(" ", "", IMD_decile),
Income_rank = gsub(" ", "", Income_rank),
Income_decile = gsub(" ", "", Income_decile),
Employment_rank = gsub(" ", "", Employment_rank),
Employment_decile = gsub(" ", "", Employment_decile),
Crime_rank = gsub(" ", "", Crime_rank),
Crime_decile = gsub(" ", "", Crime_decile),
Health_Deprivation_rank = gsub(" ", "", Health_Deprivation_rank),
Health_Deprivation_decile = gsub(" ", "", Health_Deprivation_decile),
Skill_rank = gsub(" ", "", Skill_rank),
Skill_decile = gsub(" ", "", Skill_decile)
)%>%
#transforming numbers into the right class, from character to integers
mutate(
IMD_rank = as.integer(IMD_rank),
IMD_decile = as.integer(IMD_decile),
Income_rank= as.integer(Income_rank),
Income_decile = as.integer(Income_decile),
Employment_rank = as.integer(Employment_rank),
Employment_decile = as.integer(Employment_decile),
Crime_rank = as.integer(Crime_rank),
Crime_decile = as.integer(Crime_decile),
Health_Deprivation_rank = as.integer(Health_Deprivation_rank),
Health_Deprivation_decile = as.integer(Health_Deprivation_decile),
Skill_rank = as.integer(Skill_rank),
Skill_decile = as.integer(Skill_decile)
)
Once the Data is tidy, I need to select only what I will truly be using therefore I am taking only the code and the IMD_decile from the table since those are the only things needed to respectively link the table and then fill the map to visualize the data.
IMD_map <- IMD_tidy %>%
rename(code = LSOA_code)%>%
select(code,
IMD_decile)%>%
mutate(code = gsub(" ", "", code))
Once the data is ready we need to use 2 new libraries, SF which is used to read and manipulate the shapefile and tmap which will be use to create the map:
library(sf)
library(tmap)
Once the libraries are loaded we will use the function st_read from the sf package to read the shapefile which will enable us to work with it:
data<-st_read(here::here("Map/england_lsoa_2011_sgen_clipped.shp"))
Now that we are able to work with the shapefile, we are going to join the IMD table that we tidied earlier on to be able to plot latter:
full_map <- left_join(data, IMD_map, by ="code")
Then we add the styling we want for the map by using tmap_style:
tmap_style("cobalt")
And finally we use the qtm function that is doing a “Quick Thematic Map Plot” for us: and we have our nice map done.
qtm(full_map, fill = "IMD_decile", border = NULL)
At first I wanted to add the tmap_mode("view") function that should make the plot interactive but it seems that it does not work with what I have done, not surre about why.